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Record W2913646048 · doi:10.4000/books.pum.8808

12. Les besoins de recherche sur le transfert des connaissances du point de vue de l’Institut national de santé publique du Québec

2012· book-chapter· fr· W2913646048 on OpenAlexaffabout
Marie‐Claire Laurendeau

Bibliographic record

VenuePresses de l’Université de Montréal eBooks · 2012
Typebook-chapter
Languagefr
FieldHealth Professions
TopicHealth Policy Implementation Science
Canadian institutionsThe Quebec Population Health Research Network
Fundersnot available
KeywordsPolitical science

Abstract

fetched live from OpenAlex

Description de l’organisation L’Institut national de santé publique du Québec (INSPQ) est un organisme autonome créé en 1998 et rattaché au ministère de la Santé et des Services sociaux du Québec (MSSS). Ses membres proviennent de multiples disciplines des sciences de la santé et des sciences humaines et sociales, et travaillent de concert avec le réseau de la santé et des services sociaux ainsi qu’avec divers partenaires intersectoriels afin de développer et de mettre à profit les connaissa...

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)0.011
metaresearch head score (Gemma)0.014
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.989
Threshold uncertainty score0.733

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.014
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.006
Science and technology studies0.0050.006
Scholarly communication0.0080.003
Open science0.0020.002
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0280.004

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 head0.336
GPT teacher head0.426
Teacher spread0.090 · 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
DomainMethods
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

Citations2
Published2012
Admission routes2
Has abstractyes

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