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Record W2410797966 · doi:10.1177/082585970402000311

Harms to Dignity, Bioethics, and the Scope of Biolaw

2004· article· en· W2410797966 on OpenAlexaff
Evan Simpson

Bibliographic record

VenueJournal of Palliative Care · 2004
Typearticle
Languageen
FieldNeuroscience
TopicPsychology of Moral and Emotional Judgment
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsDignityBioethicsIdeal (ethics)PersonhoodPalliative careRhetorical questionNormativeNarrativeAction (physics)Environmental ethicsSociologyLawPsychologyLaw and economicsPolitical scienceNursingMedicinePhilosophy

Abstract

fetched live from OpenAlex

Dignity is an expansive ideal, figuring in international covenants, codes of research involving human participants, and debates about decision making at the end of life. One result of this expansiveness is that human dignity can be appropriated by proponents on both sides of many issues, thereby appearing more as a rhetorical flourish than as a serious element in argumentation. However, an appreciation of narrative inquiry shows that opposing representations of dignity constitute alternative assessments of responsible action, both of which can be morally reasonable. One implication is that normative disagreements, as between deathbed decisions about palliative care or euthanasia, can be expected to occur, so that the ideal of dignity should be legally expressed in a practice of supportive laissez-faire in preference to any undue regulation of dying.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.016
metaresearch head score (Gemma)0.022
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.016
Threshold uncertainty score0.083

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0160.022
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0080.112
Scholarly communication0.0110.009
Open science0.0010.010
Research integrity0.0080.008
Insufficient payload (model declined to judge)0.0030.000

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 head0.200
GPT teacher head0.375
Teacher spread0.175 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreCommentary

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations7
Published2004
Admission routes1
Has abstractyes

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