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Record W2743233483 · doi:10.1093/pch/pxx100

La relation entre les praticiens en pédiatrie et « l’industrie »

2017· article· fr· W2743233483 on OpenAlexaff
Susan Albersheim, Kevin Coughlin

Bibliographic record

VenuePaediatrics & Child Health · 2017
Typearticle
Languagefr
FieldPharmacology, Toxicology and Pharmaceutics
TopicPharmaceutical industry and healthcare
Canadian institutionsCanadian Paediatric Society
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Les praticiens en pédiatrie interagissent avec des représentants de l’industrie pour bien des motifs, mais la plupart du temps, ils recherchent de l’information sur les nouveaux produits et ceux déjà existants. Ils se pensent à l’abri des influences publicitaires qu’exercent ces représentants, mais les recherches démontrent qu’il en est autrement. D’après les publications, la population est au courant de ces influences, et la plupart des gens les trouvent inappropriées. Les lignes directrices nationales contribuent jusqu’à un certain point à réglementer les interactions entre les praticiens et l’industrie, mais elles ne sont pas toujours claires ni suffisantes. Le présent point de pratique aborde le contexte de ces relations, soulève certains enjeux déontologiques propres aux praticiens en pédiatrie et contient des recommandations pour assurer le maintien de l’intégrité professionnelle dans le cadre de la relation entre le patient et le médecin. Dans leurs interactions avec l’industrie, les praticiens en pédiatrie ont le devoir professionnel de respecter, d’abord et avant tout, l’intérêt du patient.

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)0.003
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Research integrity
Consensus categoriesnone
DomainCandidate signal: Incentives · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.998
Threshold uncertainty score0.075

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.003
Science and technology studies0.0030.002
Scholarly communication0.0030.002
Open science0.0010.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0220.002

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 head0.258
GPT teacher head0.515
Teacher spread0.257 · 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.

Study designQualitative
DomainIncentives
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
Published2017
Admission routes1
Has abstractyes

Explore more

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