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Record W3128250119 · doi:10.1080/13691058.2021.1873421

Social and emotional wellbeing of indigenous gender and sexuality diverse youth: mapping the evidence

2021· article· en· W3128250119 on OpenAlexaboutno aff
Karen Soldatić, Linda Briskman, William Trewlynn, John Leha, Kim Spurway

Bibliographic record

VenueCulture Health & Sexuality · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsnot available
Fundersnot available
KeywordsHuman sexualityIndigenousGender studiesPsychological resilienceVulnerability (computing)Diversity (politics)SociologyResistance (ecology)ColonialismPsychologySocial psychologyGeographyAnthropologyEcology

Abstract

fetched live from OpenAlex

There has been little exploration of the social and emotional wellbeing of young Indigenous populations who identify as gender and sexuality diverse. Given the vulnerability of this cohort in settler colonial societies such as Australia, Canada and the USA, wider investigation is called for in order to respond to their needs and aspirations. Using a scoping review, this paper maps existing research on the intersections of youth, gender and sexuality diversity, Indigeneity and wellbeing. The evidence points to the importance of historical and contemporary experiences tied to colonisation and intergenerational trauma. For young Indigenous gender and sexuality diverse peoples, heteronormative colonial value systems converge to produce environments characterised by racism, phobia and marginalisation. The evidence base includes deficit models based on trauma and negative outcomes. However, there is also an emerging body of research highlighting the resistance and resilience of Indigenous gender and sexuality diverse youth.

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)0.010
metaresearch head score (Gemma)0.031
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.050
Threshold uncertainty score0.100

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.031
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0060.007
Science and technology studies0.0020.003
Scholarly communication0.0040.003
Open science0.0010.005
Research integrity0.0010.002
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 head0.176
GPT teacher head0.401
Teacher spread0.225 · 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 designSystematic review
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

Citations24
Published2021
Admission routes1
Has abstractyes

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