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Record W7020356958

Le Net Gay Baromètre 2014 : source de mobilisation des connaissances et des communautés au regard des HGBTQ/HRSH des différentes régions administratives au Québec.: Rapport produit à la demande du Service de lutte contre les ITSS du Ministère de la Santé et des Services sociaux du Québec. Ce document de 4010 p présente les résultats du NGB 2014 selon les régions administratives du Québec.

2018· report· fr· W7020356958 on OpenAlexaboutno aff

Bibliographic record

VenueHAL (Le Centre pour la Communication Scientifique Directe) · 2018
Typereport
Languagefr
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)Human immunodeficiency virus (HIV)Service (business)
DOInot available

Abstract

fetched live from OpenAlex

Basée sur les résultats du Net Gay Baromètre québécois, cette l’étude vise à d’optimiser l’utilisation des données extraites du sondage pour soutenir les décisions et les actions dans la lutte contre le VIH et les ITSS auprès des hommes qui ont des relations sexuelles avec d’autres hommes au Québec.Suite à diverses réunions et discussions sur la présentation thématique des résultats de l’enquête, nous avons effectué : un recodage de certaines données, une segmentation de l’échantillon par région administrative dans le but de produire une cartographie par région sociosanitaire. Ce rapport de 401 pages présente donc les principaux résultats de l'enquête par région administrative du Québec sous la forme de tableaux croisés, réalisés à partir d’analyses de khi- deux.

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)0.007
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.039
Threshold uncertainty score0.284

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.007
Science and technology studies0.0060.001
Scholarly communication0.0040.002
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0270.002

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 head0.036
GPT teacher head0.307
Teacher spread0.272 · 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

Citations0
Published2018
Admission routes1
Has abstractyes

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