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Record W93927275 · doi:10.1017/s0012217300003978

Accès aux médicaments : quelle responsabilité pour les compagnies pharmaceutiques?

2004· article· fr· W93927275 on OpenAlexaff
Caroline Allard

Bibliographic record

VenueDialogue · 2004
Typearticle
Languagefr
FieldEconomics, Econometrics and Finance
TopicPharmaceutical Economics and Policy
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsPolitical sciencePhilosophyHumanities

Abstract

fetched live from OpenAlex

Résumé On invoque souvent la responsabilité morale des compagnies pharmaceutiques lorsqu'il s'agit de réfléchir aux difficultés qu'affrontent les pays en voie de développement en matière d'accès aux médicaments. Dans cet article, je désire faire la critique d'une stratégie d'attribution de la responsabilité morale aux companies pharmaceutiques selon laquelle cette responsabilité proviendrait de lew statut similaire à celui d'agents moraux individuels. Je proposerai ensuite une autre stratégie qui lie la responsabilité des entreprises à leurs fonctions en utilisant une distinction entre fonctions organisationnelles et fonctions occupationnelles. Malgre son interit, le succès mitigé de cette proposition me conduira à remettre en question la pertinence de l'attribution ciblée d'une responsabilité aux compagnies pharmaceutiques.

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)0.009
metaresearch head score (Gemma)0.019
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.017
Threshold uncertainty score0.057

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.019
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0040.017
Scholarly communication0.0100.006
Open science0.0010.004
Research integrity0.0070.005
Insufficient payload (model declined to judge)0.0170.001

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 head0.115
GPT teacher head0.347
Teacher spread0.232 · 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 designNot applicable
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

Citations0
Published2004
Admission routes1
Has abstractyes

Explore more

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