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Record W3096862498 · doi:10.1177/1757975920963886

Perspective sur la responsabilité de l’industrie pharmaceutique dans la promotion de la recherche pédiatrique et dans l’accès aux médicaments essentiels

2020· article· fr· W3096862498 on OpenAlexaff
Neyla Dahane, Béatrice Godard

Bibliographic record

VenueGlobal Health Promotion · 2020
Typearticle
Languagefr
FieldMedicine
TopicPharmaceutical studies and practices
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsPolitical scienceHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Resumé : L’industrie pharmaceutique a permis à de nombreux patients d’améliorer leur santé. Mais elle reste critiquée à cause d’un certain désengagement envers les maladies dans les pays en voie de développement et notamment les maladies pédiatriques. Considérant le cercle vicieux de la pauvreté et de la maladie affectant les enfants dans ces pays, il apparait primordial que les multinationales pharmaceutiques impliquent leur responsabilité à plusieurs niveaux : par la mise en place d’actions concrètes pour mener plus de recherches sur les enfants, vu leurs besoins ; puis en rendant les médicaments accessibles à un plus grand nombre d’enfants.

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)0.007
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 score0.016
Threshold uncertainty score0.083

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0160.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0030.006
Scholarly communication0.0120.005
Open science0.0010.004
Research integrity0.0070.005
Insufficient payload (model declined to judge)0.0100.002

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 head0.349
GPT teacher head0.545
Teacher spread0.195 · 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
Published2020
Admission routes1
Has abstractyes

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