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Record W2995269108 · doi:10.24095/hpcdp.39.12.03f

Aperçu - Mesures prises à l’échelle locale contre l’épidémie canadienne d’opioïdes dans les collectivités de Kingston, du comté de Frontenac et du comté de Lennox et Addington

2019· article· fr· W2995269108 on OpenAlexaffvenueabout
Anees Bahji, Daenis Camiré

Bibliographic record

VenuePromotion de la santé et prévention des maladies chroniques au Canada · 2019
Typearticle
Languagefr
FieldMedicine
TopicOpioid Use Disorder Treatment
Canadian institutionsQueen's University
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

Le Canada est confronté à une épidémie nationale de surdoses d’opioïdes, le nombre de décès associé étant en constante augmentation. Les expériences relatives aux opioïdes des collectivités de Kingston, du comté de Frontenac et du comté de Lennox et Addington, qui forment le pôle régional du Sud‑Est de l’Ontario et sont le siège de l’Université Queen’s, sont susceptibles d’offrir des perspectives intéressantes. Cet article présente les mesures récentes de lutte contre la crise des opioïdes à l’échelle locale, la justification de leur adoption ainsi que le contexte dans lequel elles sont appliquées.

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.059
Threshold uncertainty score0.144

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0050.003
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.009
GPT teacher head0.277
Teacher spread0.267 · 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 designObservational
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

Citations1
Published2019
Admission routes3
Has abstractyes

Explore more

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