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Record W4379878715 · doi:10.4000/sociologies.21145

L’assistance à mourir : conditions pour une comparaison internationale

2023· article· fr· W4379878715 on OpenAlexaff
Murielle Pott, Samuel Blouin

Bibliographic record

VenueSociologieS · 2023
Typearticle
Languagefr
FieldHealth Professions
TopicAging, Elder Care, and Social Issues
Canadian institutionsUniversité de MontréalCentrale des Syndicats du Québec
Fundersnot available
KeywordsPolitical science

Abstract

fetched live from OpenAlex

Pour comparer, il faut « construire du comparable », pour reprendre l’expression de Marcel Detienne (2000). Des théories et des concepts clairement définis sont nécessaires pour situer ce qui est étudié : les données ne parlent ni ne se comparent d’elles-mêmes. Un symposium international, financé par le Fonds national suisse de la recherche scientifique (FNS), la Fondation Pallium et le Fonds de promotion de la santé de la Haute École spécialisée de Suisse occidentale (HES-SO), a réuni en 20...

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)0.098
metaresearch head score (Gemma)0.179
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.098
Threshold uncertainty score0.519

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0980.179
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0170.023
Science and technology studies0.0030.005
Scholarly communication0.0140.024
Open science0.0030.009
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0250.002

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 head0.171
GPT teacher head0.466
Teacher spread0.295 · 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 designQualitative
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
Published2023
Admission routes1
Has abstractyes

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Same venueSociologieSSame topicAging, Elder Care, and Social IssuesFrench-language works237,207