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Record W4245799482 · doi:10.1051/pmed/20099992

Communications affichées

2009· article· fr· W4245799482 on OpenAlexaff
Sébastien Petrolito, Gaëtane Leloup, Véronique Godin, Caroline Canon, Michel Hérin, Lucie Brazeau-Lamontagne, Diane Clavet, Ben Hassen, T. Mestiri, Ben Ammar, Abdoul Doukaini, Monarda Mouhadji, D. Heranney, T. Mutel, Laetitia Oswald, Sandrine Wacker, S. Mechkour, Emilie Marrer, Thierry Lavigne, Andrée Boucher, Monique Chaput, Bernard Millette, Gilles Beauchamp, Suzanne Renaud, Christian Bourdy

Bibliographic record

VenuePédagogie médicale · 2009
Typearticle
Languagefr
FieldMedicine
TopicInnovations in Medical Education
Canadian institutionsUniversité de MontréalUniversité de Sherbrooke
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Problmatique : La facult de mdecine de l'universit catholique de Louvain a pour projet de crer des rfrentiels qui permettront de mettre en vidence la qualit des formations et d'identifier les forces et faiblesses des programmes en sciences de la sant. Il s'agit de formaliser une bonne pratique et de tenter de s'en rapprocher le plus possible. Nous souhaitons rflchir et crer un rfrentiel propos de ce que l'on attend concrtement du futur diplm la fin de nos formations. Qu'est-ce qu'un bon dentiste ? Un professionnel qui se contente de bien soigner ses patients ? Ou un praticien rflexif, autonome, capable de dvelopper de nouvelles connaissances tout au long de sa carrire, ... ? Ces rflexions s'inscrivent galement dans le contexte des cadres europens (Bologne et Copenhague).

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)0.002
metaresearch head score (Gemma)0.021
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.606
Threshold uncertainty score0.865

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.021
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0030.001
Scholarly communication0.0050.003
Open science0.0010.004
Research integrity0.0060.005
Insufficient payload (model declined to judge)0.3940.230

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 head0.064
GPT teacher head0.403
Teacher spread0.339 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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".

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Citations0
Published2009
Admission routes1
Has abstractyes

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