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Record W2058192950 · doi:10.4000/ethiquepublique.961

Aligner la recherche scientifique aux besoins et aux intérêts des premières nations : meilleures pratiques et initiatives prometteuses

2012· article· fr· W2058192950 on OpenAlexaffvenueabout
Nancy Gros-Louis McHugh

Bibliographic record

VenueÉthique Publique · 2012
Typearticle
Languagefr
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsFirst Nations of Quebec and Labrador Health and Social Services Commission
Fundersnot available
KeywordsHumanitiesINTPolitical scienceArtComputer science

Abstract

fetched live from OpenAlex

La création de la Commission de la santé et des services sociaux des Premières Nations du Québec et du Labrador (CSSSPNQL) date de 1994. L’Assemblée des Chefs des Premières Nations du Québec et du Labrador a entériné sa création afin de faire valoir le droit inhérent des Premières Nations de concevoir et de livrer des services de santé et sociaux culturellement convenables.L’Assemblée des Premières Nations du Québec et du Labrador (APNQL) est constituée de l’ensemble des Chefs des communauté...

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)0.166
metaresearch head score (Gemma)0.104
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 score0.951
Threshold uncertainty score0.879

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1660.104
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.008
Science and technology studies0.0090.012
Scholarly communication0.0210.016
Open science0.0030.009
Research integrity0.0080.010
Insufficient payload (model declined to judge)0.0050.001

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 head0.255
GPT teacher head0.448
Teacher spread0.193 · 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

Citations1
Published2012
Admission routes3
Has abstractyes

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