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Record W2604249525 · doi:10.7202/1039036ar

Sexe, genre et contexte : Une compréhension en matière de promotion de la santé sexuelle et prévention du VIH/ITS auprès des jeunes autochtones au Nouveau-Brunswick

2017· article· fr· W2604249525 on OpenAlexaffvenueabout
Anik Dubé, Julie Emelie Boudreau

Bibliographic record

VenueRevue de l’Université de Moncton · 2017
Typearticle
Languagefr
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsUniversité de Moncton
Fundersnot available
KeywordsHumanitiesPolitical scienceHuman immunodeficiency virus (HIV)MedicineArtFamily medicine

Abstract

fetched live from OpenAlex

Au Canada, les jeunes autochtones sont confrontés de plus en plus aux taux importants d’infections transmissibles sexuellement (ITS) et à une épidémie du virus de l’immunodéficience humaine (VIH). Des expériences historiques et les conditions sociales actuelles interagissent pour avoir une incidence sur la vulnérabilité de la population autochtone. Le but de cette étude ethnographique était d’améliorer la compréhension de la santé publique des jeunes autochtones et leurs expériences en matière de promotion de la santé sexuelle et de prévention de VIH/ITS. Un devis qualitatif axé sur l’approche communautaire et culturelle a servi à comprendre l’expérience des jeunes pour accéder à des services de dépistage. Vingt jeunes ont participé à l’étude. L’analyse thématique a permis d’identifier quatre thèmes : financement et législation; intergénération et santé sexuelle; contexte de santé sexuelle et éducation; perceptions des services de santé sexuelle et dépistage du VIH/ITS. Il est essentiel que les prestataires de santé et les décideurs adoptent une approche culturellement adéquate et respectueuse des genres en matière de promotion et de prévention.

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)0.005
metaresearch head score (Gemma)0.006
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: Empirical
Teacher disagreement score0.430
Threshold uncertainty score0.866

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0080.009
Scholarly communication0.0060.004
Open science0.0010.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0050.000

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 head0.018
GPT teacher head0.294
Teacher spread0.276 · 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
Published2017
Admission routes3
Has abstractyes

Explore more

Same venueRevue de l’Université de MonctonSame topicIndigenous Health, Education, and RightsFrench-language works237,207