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Record W6906637145 · doi:10.18163/urppchusj2015041601

État des lieux en pratique pharmaceutique à Haïti – mise en contexte d’un pharmacien – partie IV

2015· article· fr· W6906637145 on OpenAlexaffabout

Bibliographic record

Venuenot available
Typearticle
Languagefr
FieldSocial Sciences
TopicMigration, Identity, and Health
Canadian institutionsCentre Hospitalier Universitaire Sainte-Justine
Fundersnot available
KeywordsContext (archaeology)FrenchMars Exploration Program

Abstract

fetched live from OpenAlex

Haïti est un pays francophone des caraïbes avec qui le Québec entretient des liens privilégiés, compte tenue d’une langue commune, d’une diaspora établie au Québec et des besoins énormes du pays. Dans le cadre du programme intégré de santé Haïti (PISH), un pharmacien du CHU Sainte-Justine a été désigné afin de revoir l’organisation des services et soins pharmaceutiques. Le PISH est un projet sous l’égide de la Croix-Rouge canadienne qui implique notamment le CHU Sainte-Justine. Il s’agit de la quatrième partie de cet état des lieux en pratique pharmaceutique à Haïti, réalisé dans le cadre d’une quatrième mission de 11 jours à Jacmel du 24 février au 6 mars 2015 pour la réorganisation des services et soins pharmaceutiques. La lecture de cet article devrait être précédée de trois articles précédents [1-3]. Ce quatrième article est aussi une annexe aux rapports de mission de de mars 2015 auquel Jean-François Bussières a eu le privilège de contribuer.

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)0.003
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.167
Threshold uncertainty score0.331

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.008
Scholarly communication0.0070.003
Open science0.0010.004
Research integrity0.0030.007
Insufficient payload (model declined to judge)0.0070.001

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 head0.099
GPT teacher head0.407
Teacher spread0.309 · 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 designQualitative
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
Published2015
Admission routes2
Has abstractyes

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Same topicMigration, Identity, and HealthFrench-language works237,207