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Record W2111546456 · doi:10.3917/spub.103.0291

Recherche, impacts et adaptations de santé publique au nouveau climat du Québec

2010· article· fr· W2111546456 on OpenAlex
Pierre Gosselin, Diane Bélanger

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueSanté Publique · 2010
Typearticle
Languagefr
FieldEnvironmental Science
TopicClimate Change and Health Impacts
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Résumé Après des débuts modestes portant sur le Québec arctique en 1999, le programme québécois de recherche en santé et changements climatiques s’est intéressé au reste du territoire vers 2002. La canicule européenne de 2003 est venue accélérer le tempo et a suscité la participation du secteur santé du Québec au Consortium de recherche Ouranos. Les constats des recherches de la période 2003-2006 sont venus alimenter directement le volet santé du Plan d’action sur les changements climatiques du gouvernement du Québec (2006-2012), financé à même la première taxe sur le carbone des Amériques. Ce volet prévoit une série d’adaptations du réseau de la santé et de certains autres réseaux publics, sous les aspects des bâtiments et aménagements extérieurs, des pratiques de gestion clinique et de la fonction surveillance et mesures d’urgence en santé publique. Nous décrivons ici comment la recherche vient soutenir et compléter l’action tout en préparant le futur, et comment cette interaction s’est progressivement instaurée sur les 10 dernières années.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesResearch integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.381
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0010.003
Open science0.0010.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0190.003

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 head0.082
GPT teacher head0.368
Teacher spread0.286 · 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