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Record W3066942388 · doi:10.1136/medhum-2019-011800

An intellectual history of suffering in the Encyclopedia of Bioethics, 1978–2014

2020· article· en· W3066942388 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueMedical Humanities · 2020
Typearticle
Languageen
FieldHealth Professions
TopicEthics in medical practice
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsBioethicsEncyclopediaRelevance (law)Theme (computing)SociologyConnotationEpistemologyPsychologyPsychoanalysisPhilosophyLawPolitical science

Abstract

fetched live from OpenAlex

Suffering is an important theme in many bioethical debates, yet little historical research is available to contextualise ideas about it. My article proposes a preliminary intellectual history of suffering in bioethics using the field’s most trusted tertiary work, the four editions of the Encyclopedia of Bioethics (1978–2004), later renamed Bioethics (2014). In the first edition, I find suffering roughly conceptualised as either the negation of a good or as a pain. The former acquired a technical connotation beginning in the second edition, when physician Eric Cassell refined the negative aspects of suffering into a full-fledged theory. Now, suffering no longer marked the loss of just any good but instead threatened one’s purpose in relation to that good. Cassell also strongly distinguished suffering from pain which, when combined with his theory of suffering, hardened earlier distinctions between pain and suffering that were present but weak in the first encyclopedia. Both Cassell’s theory and his strong distinction impacted how other contributors moralised suffering in the later encyclopedias, although his influence was not total: utilitarians continued to moralise suffering in ways that still roughly construed it as pain. Consequently, Cassell and the utilitarians conflicted conceptually. Nevertheless, this tension went unfelt in the encyclopedias for reasons I describe. I close by suggesting areas for further historical research and argue for their relevance to bioethical enquiries into suffering.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.054
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.729
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.054
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.003
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.006
Insufficient payload (model declined to judge)0.0090.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.266
GPT teacher head0.466
Teacher spread0.200 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it