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Record W3108385617

Construction locale de la santé.

2017· preprint· fr· W3108385617 on OpenAlexaboutno aff
Sébastien Fleuret

Bibliographic record

VenueHAL (Le Centre pour la Communication Scientifique Directe) · 2017
Typepreprint
Languagefr
FieldHealth Professions
TopicHealthcare Systems and Practices
Canadian institutionsnot available
Fundersnot available
KeywordsLocale (computer software)GeographyPsychologyComputer scienceProgramming language
DOInot available

Abstract

fetched live from OpenAlex

Au moment de la sortie de ce livre, la France connaît des mutations territoriales qui touchent la médecine de proximité et la santé publique. Cet ouvrage esquisse des pistes de réflexions et d’actions pour une autre politique de santé, où l’humain et son territoire sont au centre des préoccupations sanitaires et sociales qui concourent à la santé, au soin et au bien-être corporel. Ce livre repose sur la conviction qu’en France, le premier niveau de santé devrait être repensé au regard d’expériences menées dans plusieurs endroits du monde (y compris dans l’Hexagone) et qui témoignent de l’intérêt d’une construction locale de la santé basée sur la prise en compte de ses déterminants médicaux et non médicaux, l’articulation entre les différents acteurs du territoire et la participation des citoyens. À partir d’études de cas observés au Canada, au Mali, au Brésil et dans l’ouest de la France, cet ouvrage développe le concept de construction locale de la santé.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.034
Threshold uncertainty score0.077

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.019
Scholarly communication0.0080.004
Open science0.0010.008
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0230.003

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 head0.046
GPT teacher head0.396
Teacher spread0.350 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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".

Quick stats

Citations0
Published2017
Admission routes1
Has abstractyes

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