MétaCan
Menu
Back to cohort
Record W3013073735 · doi:10.1080/13691058.2020.1722856

A rapid review of Indigenous boys’ and men’s sexual health in Canada

2020· review· en· W3013073735 on OpenAlexafffundabout
Lisa Hackett, Maya Biderman, Nicole Doria, Julien Courville, Emma Bogner, Rebecca Spencer, Dave A. Miller, Jane McMillan, Matthew Numer

Bibliographic record

VenueCulture Health & Sexuality · 2020
Typereview
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsAssembly of First NationsSt. Francis Xavier UniversityDalhousie University
FundersCanadian Health Services Research Foundation
KeywordsIndigenousReproductive healthPsychologyMedicineEnvironmental healthPopulation

Abstract

fetched live from OpenAlex

Indigenous boys and men in Canada face adverse social and structural circumstances that affect their ability to achieve and maintain sexual health. Research about Indigenous sexual health, however, is largely limited to matters relating to women and statistics on sexually transmitted infections. A rapid review of research was conducted to determine what is currently known about Indigenous boys' and men's sexual health in Canada. Given the prevalence of research documenting quantitative disparities, the current review included qualitative research only. Thirteen included studies explored a wide range of topics relating to sexual health and an overarching intersection between social conditions and individual health outcomes was observed. The results of this review reveal significant gaps in the literature relating to the holistic sexual health of Indigenous boys and men and highlight important domains of sexual health to consider in future research. Findings suggest that sexual health programmes that promote traditional Indigenous knowledge and intergenerational relationships may be effective for promoting sexual health among Indigenous boys and men.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.820
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0080.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0000.000

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 head0.134
GPT teacher head0.455
Teacher spread0.320 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreReview

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

Citations8
Published2020
Admission routes3
Has abstractyes

Explore more

Same venueCulture Health & SexualitySame topicIndigenous Studies and EcologyFrench-language works237,207