Epigenetic this, epigenetic that: comparing two digital humanities methods for analyzing a slippery scientific term
Abstract We compared two digital humanities methods in the analysis of a contested scientific term. “Epigenetics” is as enigmatic as it is popular. Some authors argue that its meaning has diluted over time as this term has come to describe a widening range of entities and mechanisms (Haig, Internati...
Ausführliche Beschreibung
Autor*in: |
Linquist, Stefan [verfasserIn] |
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Englisch |
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2023 |
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© The Author(s), under exclusive licence to Springer Nature B.V. 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
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Übergeordnetes Werk: |
Enthalten in: Synthese |
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volume:202 ; year:2023 ; number:3 ; day:22 ; month:08 |
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DOI / URN: |
10.1007/s11229-023-04265-5 |
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SPR052826287 |
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520 | |a Abstract We compared two digital humanities methods in the analysis of a contested scientific term. “Epigenetics” is as enigmatic as it is popular. Some authors argue that its meaning has diluted over time as this term has come to describe a widening range of entities and mechanisms (Haig, International Journal of Epidemiology 41:13–16, 2012). Others propose both a Waddingtonian “broad sense” and a mechanistic “narrow sense” definition to capture its various scientific uses (Stotz and Griffiths, History and Philosophy of the Life Sciences 38:22, 2016). We evaluated these proposals by first replicating a recent analysis by (Linquist and Fullerton, Theoretical Medicine and Bioethics 42:137–154, 2021). We analyzed the 1100 most frequently cited abstracts on epigenetics across four disciplines: proximal biology, biomedicine, general biology, and evolution. Each abstract was coded for its heritability commitments (if any) and functional interpretation. A second study applied LDA topic modelling to the same corpus, thus providing a useful methodological comparison. The two methods converged on a discipline-relative ambiguity. Within such disciplines as biomedicine or molecular biology that focus on proximate mechanisms, “epigenetic(s)” refers to a range of molecular structures while specifying nothing in particular about their heritability. This proximal conception was primarily associated with the functions of gene regulation and disease. In contrast, a second relatively uncommon sense of “epigenetic(s)” is restricted to a small proportion of evolutionary abstracts. It refers to many of the same molecular structures, but regards them as trans-generationally inherited and associated with adaptive phenotypic plasticity. This finding underscores the benefit of digital tools in complementing traditional conceptual analysis. Philosophers should be cautious not to conflate the relatively uncommon evolutionary sense of epigenetics with the more widely used proximal conception. | ||
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10.1007/s11229-023-04265-5 doi (DE-627)SPR052826287 (SPR)s11229-023-04265-5-e DE-627 ger DE-627 rakwb eng Linquist, Stefan verfasserin (orcid)0000-0003-4654-0419 aut Epigenetic this, epigenetic that: comparing two digital humanities methods for analyzing a slippery scientific term 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature B.V. 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract We compared two digital humanities methods in the analysis of a contested scientific term. “Epigenetics” is as enigmatic as it is popular. Some authors argue that its meaning has diluted over time as this term has come to describe a widening range of entities and mechanisms (Haig, International Journal of Epidemiology 41:13–16, 2012). Others propose both a Waddingtonian “broad sense” and a mechanistic “narrow sense” definition to capture its various scientific uses (Stotz and Griffiths, History and Philosophy of the Life Sciences 38:22, 2016). We evaluated these proposals by first replicating a recent analysis by (Linquist and Fullerton, Theoretical Medicine and Bioethics 42:137–154, 2021). We analyzed the 1100 most frequently cited abstracts on epigenetics across four disciplines: proximal biology, biomedicine, general biology, and evolution. Each abstract was coded for its heritability commitments (if any) and functional interpretation. A second study applied LDA topic modelling to the same corpus, thus providing a useful methodological comparison. The two methods converged on a discipline-relative ambiguity. Within such disciplines as biomedicine or molecular biology that focus on proximate mechanisms, “epigenetic(s)” refers to a range of molecular structures while specifying nothing in particular about their heritability. This proximal conception was primarily associated with the functions of gene regulation and disease. In contrast, a second relatively uncommon sense of “epigenetic(s)” is restricted to a small proportion of evolutionary abstracts. It refers to many of the same molecular structures, but regards them as trans-generationally inherited and associated with adaptive phenotypic plasticity. This finding underscores the benefit of digital tools in complementing traditional conceptual analysis. Philosophers should be cautious not to conflate the relatively uncommon evolutionary sense of epigenetics with the more widely used proximal conception. The epigenetics concept (dpeaa)DE-He213 Epigenetic inheritance (dpeaa)DE-He213 Epigenetic functions (dpeaa)DE-He213 Digital humanities (dpeaa)DE-He213 Topic modelling (dpeaa)DE-He213 LDA (dpeaa)DE-He213 Experimental philosophy (dpeaa)DE-He213 Fullerton, Brady aut Grewal, Akashdeep aut Enthalten in Synthese <Dordrecht> Dordrecht [u.a.] : Springer Science + Business Media B.V, 1936 202(2023), 3 vom: 22. Aug. (DE-627)315299274 (DE-600)2012638-4 1573-0964 nnns volume:202 year:2023 number:3 day:22 month:08 https://dx.doi.org/10.1007/s11229-023-04265-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2043 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2936 GBV_ILN_2949 GBV_ILN_2950 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4392 GBV_ILN_4393 GBV_ILN_4700 AR 202 2023 3 22 08 |
spelling |
10.1007/s11229-023-04265-5 doi (DE-627)SPR052826287 (SPR)s11229-023-04265-5-e DE-627 ger DE-627 rakwb eng Linquist, Stefan verfasserin (orcid)0000-0003-4654-0419 aut Epigenetic this, epigenetic that: comparing two digital humanities methods for analyzing a slippery scientific term 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature B.V. 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract We compared two digital humanities methods in the analysis of a contested scientific term. “Epigenetics” is as enigmatic as it is popular. Some authors argue that its meaning has diluted over time as this term has come to describe a widening range of entities and mechanisms (Haig, International Journal of Epidemiology 41:13–16, 2012). Others propose both a Waddingtonian “broad sense” and a mechanistic “narrow sense” definition to capture its various scientific uses (Stotz and Griffiths, History and Philosophy of the Life Sciences 38:22, 2016). We evaluated these proposals by first replicating a recent analysis by (Linquist and Fullerton, Theoretical Medicine and Bioethics 42:137–154, 2021). We analyzed the 1100 most frequently cited abstracts on epigenetics across four disciplines: proximal biology, biomedicine, general biology, and evolution. Each abstract was coded for its heritability commitments (if any) and functional interpretation. A second study applied LDA topic modelling to the same corpus, thus providing a useful methodological comparison. The two methods converged on a discipline-relative ambiguity. Within such disciplines as biomedicine or molecular biology that focus on proximate mechanisms, “epigenetic(s)” refers to a range of molecular structures while specifying nothing in particular about their heritability. This proximal conception was primarily associated with the functions of gene regulation and disease. In contrast, a second relatively uncommon sense of “epigenetic(s)” is restricted to a small proportion of evolutionary abstracts. It refers to many of the same molecular structures, but regards them as trans-generationally inherited and associated with adaptive phenotypic plasticity. This finding underscores the benefit of digital tools in complementing traditional conceptual analysis. Philosophers should be cautious not to conflate the relatively uncommon evolutionary sense of epigenetics with the more widely used proximal conception. The epigenetics concept (dpeaa)DE-He213 Epigenetic inheritance (dpeaa)DE-He213 Epigenetic functions (dpeaa)DE-He213 Digital humanities (dpeaa)DE-He213 Topic modelling (dpeaa)DE-He213 LDA (dpeaa)DE-He213 Experimental philosophy (dpeaa)DE-He213 Fullerton, Brady aut Grewal, Akashdeep aut Enthalten in Synthese <Dordrecht> Dordrecht [u.a.] : Springer Science + Business Media B.V, 1936 202(2023), 3 vom: 22. Aug. (DE-627)315299274 (DE-600)2012638-4 1573-0964 nnns volume:202 year:2023 number:3 day:22 month:08 https://dx.doi.org/10.1007/s11229-023-04265-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2043 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2936 GBV_ILN_2949 GBV_ILN_2950 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4392 GBV_ILN_4393 GBV_ILN_4700 AR 202 2023 3 22 08 |
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10.1007/s11229-023-04265-5 doi (DE-627)SPR052826287 (SPR)s11229-023-04265-5-e DE-627 ger DE-627 rakwb eng Linquist, Stefan verfasserin (orcid)0000-0003-4654-0419 aut Epigenetic this, epigenetic that: comparing two digital humanities methods for analyzing a slippery scientific term 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature B.V. 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract We compared two digital humanities methods in the analysis of a contested scientific term. “Epigenetics” is as enigmatic as it is popular. Some authors argue that its meaning has diluted over time as this term has come to describe a widening range of entities and mechanisms (Haig, International Journal of Epidemiology 41:13–16, 2012). Others propose both a Waddingtonian “broad sense” and a mechanistic “narrow sense” definition to capture its various scientific uses (Stotz and Griffiths, History and Philosophy of the Life Sciences 38:22, 2016). We evaluated these proposals by first replicating a recent analysis by (Linquist and Fullerton, Theoretical Medicine and Bioethics 42:137–154, 2021). We analyzed the 1100 most frequently cited abstracts on epigenetics across four disciplines: proximal biology, biomedicine, general biology, and evolution. Each abstract was coded for its heritability commitments (if any) and functional interpretation. A second study applied LDA topic modelling to the same corpus, thus providing a useful methodological comparison. The two methods converged on a discipline-relative ambiguity. Within such disciplines as biomedicine or molecular biology that focus on proximate mechanisms, “epigenetic(s)” refers to a range of molecular structures while specifying nothing in particular about their heritability. This proximal conception was primarily associated with the functions of gene regulation and disease. In contrast, a second relatively uncommon sense of “epigenetic(s)” is restricted to a small proportion of evolutionary abstracts. It refers to many of the same molecular structures, but regards them as trans-generationally inherited and associated with adaptive phenotypic plasticity. This finding underscores the benefit of digital tools in complementing traditional conceptual analysis. Philosophers should be cautious not to conflate the relatively uncommon evolutionary sense of epigenetics with the more widely used proximal conception. 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(DE-627)315299274 (DE-600)2012638-4 1573-0964 nnns volume:202 year:2023 number:3 day:22 month:08 https://dx.doi.org/10.1007/s11229-023-04265-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2043 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2936 GBV_ILN_2949 GBV_ILN_2950 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4392 GBV_ILN_4393 GBV_ILN_4700 AR 202 2023 3 22 08 |
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10.1007/s11229-023-04265-5 doi (DE-627)SPR052826287 (SPR)s11229-023-04265-5-e DE-627 ger DE-627 rakwb eng Linquist, Stefan verfasserin (orcid)0000-0003-4654-0419 aut Epigenetic this, epigenetic that: comparing two digital humanities methods for analyzing a slippery scientific term 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature B.V. 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract We compared two digital humanities methods in the analysis of a contested scientific term. “Epigenetics” is as enigmatic as it is popular. Some authors argue that its meaning has diluted over time as this term has come to describe a widening range of entities and mechanisms (Haig, International Journal of Epidemiology 41:13–16, 2012). Others propose both a Waddingtonian “broad sense” and a mechanistic “narrow sense” definition to capture its various scientific uses (Stotz and Griffiths, History and Philosophy of the Life Sciences 38:22, 2016). We evaluated these proposals by first replicating a recent analysis by (Linquist and Fullerton, Theoretical Medicine and Bioethics 42:137–154, 2021). We analyzed the 1100 most frequently cited abstracts on epigenetics across four disciplines: proximal biology, biomedicine, general biology, and evolution. Each abstract was coded for its heritability commitments (if any) and functional interpretation. A second study applied LDA topic modelling to the same corpus, thus providing a useful methodological comparison. The two methods converged on a discipline-relative ambiguity. Within such disciplines as biomedicine or molecular biology that focus on proximate mechanisms, “epigenetic(s)” refers to a range of molecular structures while specifying nothing in particular about their heritability. This proximal conception was primarily associated with the functions of gene regulation and disease. In contrast, a second relatively uncommon sense of “epigenetic(s)” is restricted to a small proportion of evolutionary abstracts. It refers to many of the same molecular structures, but regards them as trans-generationally inherited and associated with adaptive phenotypic plasticity. This finding underscores the benefit of digital tools in complementing traditional conceptual analysis. Philosophers should be cautious not to conflate the relatively uncommon evolutionary sense of epigenetics with the more widely used proximal conception. The epigenetics concept (dpeaa)DE-He213 Epigenetic inheritance (dpeaa)DE-He213 Epigenetic functions (dpeaa)DE-He213 Digital humanities (dpeaa)DE-He213 Topic modelling (dpeaa)DE-He213 LDA (dpeaa)DE-He213 Experimental philosophy (dpeaa)DE-He213 Fullerton, Brady aut Grewal, Akashdeep aut Enthalten in Synthese <Dordrecht> Dordrecht [u.a.] : Springer Science + Business Media B.V, 1936 202(2023), 3 vom: 22. Aug. (DE-627)315299274 (DE-600)2012638-4 1573-0964 nnns volume:202 year:2023 number:3 day:22 month:08 https://dx.doi.org/10.1007/s11229-023-04265-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2043 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2936 GBV_ILN_2949 GBV_ILN_2950 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4392 GBV_ILN_4393 GBV_ILN_4700 AR 202 2023 3 22 08 |
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10.1007/s11229-023-04265-5 doi (DE-627)SPR052826287 (SPR)s11229-023-04265-5-e DE-627 ger DE-627 rakwb eng Linquist, Stefan verfasserin (orcid)0000-0003-4654-0419 aut Epigenetic this, epigenetic that: comparing two digital humanities methods for analyzing a slippery scientific term 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature B.V. 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract We compared two digital humanities methods in the analysis of a contested scientific term. “Epigenetics” is as enigmatic as it is popular. Some authors argue that its meaning has diluted over time as this term has come to describe a widening range of entities and mechanisms (Haig, International Journal of Epidemiology 41:13–16, 2012). Others propose both a Waddingtonian “broad sense” and a mechanistic “narrow sense” definition to capture its various scientific uses (Stotz and Griffiths, History and Philosophy of the Life Sciences 38:22, 2016). We evaluated these proposals by first replicating a recent analysis by (Linquist and Fullerton, Theoretical Medicine and Bioethics 42:137–154, 2021). We analyzed the 1100 most frequently cited abstracts on epigenetics across four disciplines: proximal biology, biomedicine, general biology, and evolution. Each abstract was coded for its heritability commitments (if any) and functional interpretation. A second study applied LDA topic modelling to the same corpus, thus providing a useful methodological comparison. The two methods converged on a discipline-relative ambiguity. Within such disciplines as biomedicine or molecular biology that focus on proximate mechanisms, “epigenetic(s)” refers to a range of molecular structures while specifying nothing in particular about their heritability. This proximal conception was primarily associated with the functions of gene regulation and disease. In contrast, a second relatively uncommon sense of “epigenetic(s)” is restricted to a small proportion of evolutionary abstracts. It refers to many of the same molecular structures, but regards them as trans-generationally inherited and associated with adaptive phenotypic plasticity. This finding underscores the benefit of digital tools in complementing traditional conceptual analysis. Philosophers should be cautious not to conflate the relatively uncommon evolutionary sense of epigenetics with the more widely used proximal conception. The epigenetics concept (dpeaa)DE-He213 Epigenetic inheritance (dpeaa)DE-He213 Epigenetic functions (dpeaa)DE-He213 Digital humanities (dpeaa)DE-He213 Topic modelling (dpeaa)DE-He213 LDA (dpeaa)DE-He213 Experimental philosophy (dpeaa)DE-He213 Fullerton, Brady aut Grewal, Akashdeep aut Enthalten in Synthese <Dordrecht> Dordrecht [u.a.] : Springer Science + Business Media B.V, 1936 202(2023), 3 vom: 22. Aug. (DE-627)315299274 (DE-600)2012638-4 1573-0964 nnns volume:202 year:2023 number:3 day:22 month:08 https://dx.doi.org/10.1007/s11229-023-04265-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2043 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2936 GBV_ILN_2949 GBV_ILN_2950 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4392 GBV_ILN_4393 GBV_ILN_4700 AR 202 2023 3 22 08 |
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Linquist, Stefan |
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Linquist, Stefan misc The epigenetics concept misc Epigenetic inheritance misc Epigenetic functions misc Digital humanities misc Topic modelling misc LDA misc Experimental philosophy Epigenetic this, epigenetic that: comparing two digital humanities methods for analyzing a slippery scientific term |
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Epigenetic this, epigenetic that: comparing two digital humanities methods for analyzing a slippery scientific term The epigenetics concept (dpeaa)DE-He213 Epigenetic inheritance (dpeaa)DE-He213 Epigenetic functions (dpeaa)DE-He213 Digital humanities (dpeaa)DE-He213 Topic modelling (dpeaa)DE-He213 LDA (dpeaa)DE-He213 Experimental philosophy (dpeaa)DE-He213 |
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epigenetic this, epigenetic that: comparing two digital humanities methods for analyzing a slippery scientific term |
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Epigenetic this, epigenetic that: comparing two digital humanities methods for analyzing a slippery scientific term |
abstract |
Abstract We compared two digital humanities methods in the analysis of a contested scientific term. “Epigenetics” is as enigmatic as it is popular. Some authors argue that its meaning has diluted over time as this term has come to describe a widening range of entities and mechanisms (Haig, International Journal of Epidemiology 41:13–16, 2012). Others propose both a Waddingtonian “broad sense” and a mechanistic “narrow sense” definition to capture its various scientific uses (Stotz and Griffiths, History and Philosophy of the Life Sciences 38:22, 2016). We evaluated these proposals by first replicating a recent analysis by (Linquist and Fullerton, Theoretical Medicine and Bioethics 42:137–154, 2021). We analyzed the 1100 most frequently cited abstracts on epigenetics across four disciplines: proximal biology, biomedicine, general biology, and evolution. Each abstract was coded for its heritability commitments (if any) and functional interpretation. A second study applied LDA topic modelling to the same corpus, thus providing a useful methodological comparison. The two methods converged on a discipline-relative ambiguity. Within such disciplines as biomedicine or molecular biology that focus on proximate mechanisms, “epigenetic(s)” refers to a range of molecular structures while specifying nothing in particular about their heritability. This proximal conception was primarily associated with the functions of gene regulation and disease. In contrast, a second relatively uncommon sense of “epigenetic(s)” is restricted to a small proportion of evolutionary abstracts. It refers to many of the same molecular structures, but regards them as trans-generationally inherited and associated with adaptive phenotypic plasticity. This finding underscores the benefit of digital tools in complementing traditional conceptual analysis. Philosophers should be cautious not to conflate the relatively uncommon evolutionary sense of epigenetics with the more widely used proximal conception. © The Author(s), under exclusive licence to Springer Nature B.V. 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
abstractGer |
Abstract We compared two digital humanities methods in the analysis of a contested scientific term. “Epigenetics” is as enigmatic as it is popular. Some authors argue that its meaning has diluted over time as this term has come to describe a widening range of entities and mechanisms (Haig, International Journal of Epidemiology 41:13–16, 2012). Others propose both a Waddingtonian “broad sense” and a mechanistic “narrow sense” definition to capture its various scientific uses (Stotz and Griffiths, History and Philosophy of the Life Sciences 38:22, 2016). We evaluated these proposals by first replicating a recent analysis by (Linquist and Fullerton, Theoretical Medicine and Bioethics 42:137–154, 2021). We analyzed the 1100 most frequently cited abstracts on epigenetics across four disciplines: proximal biology, biomedicine, general biology, and evolution. Each abstract was coded for its heritability commitments (if any) and functional interpretation. A second study applied LDA topic modelling to the same corpus, thus providing a useful methodological comparison. The two methods converged on a discipline-relative ambiguity. Within such disciplines as biomedicine or molecular biology that focus on proximate mechanisms, “epigenetic(s)” refers to a range of molecular structures while specifying nothing in particular about their heritability. This proximal conception was primarily associated with the functions of gene regulation and disease. In contrast, a second relatively uncommon sense of “epigenetic(s)” is restricted to a small proportion of evolutionary abstracts. It refers to many of the same molecular structures, but regards them as trans-generationally inherited and associated with adaptive phenotypic plasticity. This finding underscores the benefit of digital tools in complementing traditional conceptual analysis. Philosophers should be cautious not to conflate the relatively uncommon evolutionary sense of epigenetics with the more widely used proximal conception. © The Author(s), under exclusive licence to Springer Nature B.V. 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
abstract_unstemmed |
Abstract We compared two digital humanities methods in the analysis of a contested scientific term. “Epigenetics” is as enigmatic as it is popular. Some authors argue that its meaning has diluted over time as this term has come to describe a widening range of entities and mechanisms (Haig, International Journal of Epidemiology 41:13–16, 2012). Others propose both a Waddingtonian “broad sense” and a mechanistic “narrow sense” definition to capture its various scientific uses (Stotz and Griffiths, History and Philosophy of the Life Sciences 38:22, 2016). We evaluated these proposals by first replicating a recent analysis by (Linquist and Fullerton, Theoretical Medicine and Bioethics 42:137–154, 2021). We analyzed the 1100 most frequently cited abstracts on epigenetics across four disciplines: proximal biology, biomedicine, general biology, and evolution. Each abstract was coded for its heritability commitments (if any) and functional interpretation. A second study applied LDA topic modelling to the same corpus, thus providing a useful methodological comparison. The two methods converged on a discipline-relative ambiguity. Within such disciplines as biomedicine or molecular biology that focus on proximate mechanisms, “epigenetic(s)” refers to a range of molecular structures while specifying nothing in particular about their heritability. This proximal conception was primarily associated with the functions of gene regulation and disease. In contrast, a second relatively uncommon sense of “epigenetic(s)” is restricted to a small proportion of evolutionary abstracts. It refers to many of the same molecular structures, but regards them as trans-generationally inherited and associated with adaptive phenotypic plasticity. This finding underscores the benefit of digital tools in complementing traditional conceptual analysis. Philosophers should be cautious not to conflate the relatively uncommon evolutionary sense of epigenetics with the more widely used proximal conception. © The Author(s), under exclusive licence to Springer Nature B.V. 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
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Epigenetic this, epigenetic that: comparing two digital humanities methods for analyzing a slippery scientific term |
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https://dx.doi.org/10.1007/s11229-023-04265-5 |
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Fullerton, Brady Grewal, Akashdeep |
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score |
7.400646 |