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Record W4376119217 · doi:10.3917/empa.129.0075

La santé communautaire aux temps de la Covid‑19

2023· article· fr· W4376119217 on OpenAlexaff
Jean-Charles Basson, Faïza Benmerzouka

Bibliographic record

VenueEmpan · 2023
Typearticle
Languagefr
FieldHealth Professions
TopicHealthcare Systems and Practices
Canadian institutionsSanté Mentale au Québec
Fundersnot available
KeywordsPolitical scienceCoronavirus disease 2019 (COVID-19)2019-20 coronavirus outbreakHumanitiesSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)PhilosophyMedicine

Abstract

fetched live from OpenAlex

Pour le centre de santé communautaire de Toulouse, la pandémie de Covid et le premier confinement qui lui est associé sont une épreuve pour ses salariés et usagers, dont les déterminants sociaux de santé sont gravement compromis. Une de ses médiatrices en témoigne. Elle insiste, d’une part, sur les contraintes inhérentes aux conditions de travail en santé à distance et, d’autre part, sur les peurs et la faim générées par la période traversée dans la douleur. Enfin, elle termine en condamnant les confusions entretenues entre santé publique et ordre public.

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)0.006
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.199
Threshold uncertainty score0.396

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0070.005
Scholarly communication0.0040.002
Open science0.0010.006
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0150.001

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 head0.183
GPT teacher head0.578
Teacher spread0.395 · 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 designNot applicable
Domainnot available
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

Citations0
Published2023
Admission routes1
Has abstractyes

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