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Record W4410864058 · doi:10.1080/14681811.2025.2510288

Aboriginal adults’ perspectives on talking with young people about sexual health and relationships in two communities in Western Sydney, Australia

2025· article· en· W4410864058 on OpenAlexaff
Kacey Martin, Joanne Bryant, Reuben Bolt, Simon Graham, Mitchell Beadman, Michael Doyle, Carla Treloar, Stephen Bell, Dean Murphy, Kristy Gardner, Christy E. Newman, Annette J. Browne, Karen Beetson, Megan Brooks, Jessica Wilms, Bronwyn Leece, Linda Stanbury, Jessica R. Botfield, Ben Davis, Peter Aggleton

Bibliographic record

VenueSex Education · 2025
Typearticle
Languageen
FieldHealth Professions
TopicAdolescent Sexual and Reproductive Health
Canadian institutionsUniversity of British Columbia
FundersMedical Research CouncilAustralian Research CouncilSydney Local Health District
KeywordsReproductive healthGender studiesHuman sexualityPsychologySociologyDevelopmental psychologyDemographyPopulation

Abstract

fetched live from OpenAlex

This strengths-based study investigated Aboriginal adults’ views on young people’s sexual health, attitudes and relationships. Between 2019 and 2020, sixteen interviews were conducted with adults aged 25 and older from two Aboriginal communities in Western Sydney, Australia. In this paper, we discuss adults’ perspectives on intergenerational communication about sex in their communities. Participants highlighted intergenerational learning via talking as a highly valued community practice and a crucial social-cultural resource for supporting young people’s sexual wellbeing. However, they also identified stigma, shame and perceived generational differences as barriers to adults talking openly with younger people about sex. To foster more open intergenerational discussion, participants recommended adopting holistic, positive and non-judgemental approaches when engaging with young people. They also emphasised the need for community-wide initiatives – such as programmes and services – that encourage collective learning, yarning and care to promote positive sexual health outcomes.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.132
Threshold uncertainty score0.968

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.082
GPT teacher head0.470
Teacher spread0.388 · 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.

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

Citations1
Published2025
Admission routes1
Has abstractyes

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