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Record W3171062813 · doi:10.1177/11771801211023207

Pathways for sexual health promotion among Indigenous boys and men: stakeholder perspectives

2021· article· en· W3171062813 on OpenAlexafffundabout
Maya Biderman, Nicole Doria, Jad Sinno, Jenny Rand, Lisa Hackett, Arthur Dave Miller, Jane McMillan, Scott Lekas, Matthew Numer

Bibliographic record

VenueAlterNative An International Journal of Indigenous Peoples · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsUniversity of British ColumbiaAssembly of First NationsUniversity of TorontoSt. Francis Xavier UniversityDalhousie University
FundersCanadian Institutes of Health Research
KeywordsIndigenousReproductive healthHealth promotionThematic analysisPublic healthColonialismPolitical scienceSociologySocioeconomicsPsychologyGender studiesEnvironmental healthMedicineQualitative researchPopulationSocial scienceNursingEcology

Abstract

fetched live from OpenAlex

The sexual health of Indigenous Peoples in Canada has been identified as an important community and public health concern; however, there is a lack of research on the sexual health needs of Indigenous boys and men. This article shares results from interviews conducted with six stakeholders to explore pathways for sexual health promotion and considers the impacts of colonialism and other socio-political contextual factors on Indigenous boys' and men's sexual health. The study employed thematic analysis, and the findings indicate the following three pathways for sexual health promotion of Indigenous boys and men: (1) developing healthy relationships and highlighting role models, (2) providing access to comprehensive sexual health information, and (3) fostering open communication among Indigenous boys and men. Sexual health promotion with Indigenous boys and men in Atlantic Canada should include addressing the impacts of colonization and their unique socio-cultural contexts.

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)0.008
metaresearch head score (Gemma)0.008
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 score0.255
Threshold uncertainty score0.507

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0170.007
Scholarly communication0.0050.003
Open science0.0010.007
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.061
GPT teacher head0.349
Teacher spread0.289 · 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

Citations4
Published2021
Admission routes3
Has abstractyes

Explore more

Same venueAlterNative An International Journal of Indigenous PeoplesSame topicIndigenous Health, Education, and RightsFrench-language works237,207