MétaCan
Menu
Back to cohort
Record W4415819524 · doi:10.7202/1121340ar

MAiD and the Death of Dignity

2025· article· en· W4415819524 on OpenAlexaffvenue
Daryl Pullman

Bibliographic record

VenueCanadian Journal of Bioethics · 2025
Typearticle
Languageen
FieldMedicine
TopicPatient Dignity and Privacy
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsDignityFoundation (evidence)AmbiguityExpression (computer science)DemocracySet (abstract data type)

Abstract

fetched live from OpenAlex

The concept of human dignity figures prominently in discussions about medical assistance in dying. Yet the notion of ‘dignity’ is often ambiguous. This paper seeks to clear up some of this ambiguity by distinguishing two different but related conceptions of dignity, the one a fundamentally moral notion (‘Dignity’—upper case) and the other a more aesthetic conception (‘dignity’—lower case). The dynamic relationship that exists between the moral notion of ‘Dignity’ and its aesthetic counterpart (‘dignity’) is examined. While a pluralistic society requires both notions, only the objective moral notion (Dignity) is adequate to serve as the foundation of a fundamental legal regime. While any pluralistic society must provide opportunities for the expression of subjective aesthetic notions of dignity, the latter can neither serve as the foundation of a comprehensive public ethic in general, nor can it set the parameters of a public policy on medicalized homicide. Indeed, the unmitigated expansion of a particular notion of ‘dignity’ threatens to expunge the more fundamental conception of Dignity that serves as the foundation of any liberal democratic society.

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)0.006
metaresearch head score (Gemma)0.011
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: Empirical · Consensus signal: none
Teacher disagreement score0.007
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0070.049
Scholarly communication0.0060.006
Open science0.0010.008
Research integrity0.0060.009
Insufficient payload (model declined to judge)0.0050.001

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 head0.081
GPT teacher head0.340
Teacher spread0.260 · 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
GenreEmpirical

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

Citations0
Published2025
Admission routes2
Has abstractyes

Explore more

Same venueCanadian Journal of BioethicsSame topicPatient Dignity and PrivacyFrench-language works237,207