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Record W2896143752 · doi:10.1177/1363460718758663

Resilience pathways, childhood escape routes, and mentors reported by gay and bisexual men affected by syndemic conditions

2018· article· en· W2896143752 on OpenAlexaff
Barry D. Adam, Trevor Hart, Jack Mohr, Todd Coleman, Julia R G Vernon

Bibliographic record

VenueSexualities · 2018
Typearticle
Languageen
FieldHealth Professions
TopicHomelessness and Social Issues
Canadian institutionsCanadians Living with HIVWilfrid Laurier UniversityToronto Metropolitan UniversityUniversity of Windsor
Fundersnot available
KeywordsSyndemicPsychological resiliencePsychologyNexus (standard)Vulnerability (computing)Human sexualitySocial psychologySociologyDevelopmental psychologyGender studiesHuman immunodeficiency virus (HIV)MedicineComputer security

Abstract

fetched live from OpenAlex

Investigation of the social and psychological antecedents of the HIV epidemic has identified a syndemic of conditions associated with risk behavior and seroconversion. This study inquires into the resilient practices and developmental processes of gay and bisexual men at the nexus of syndemic conditions to understand the pathways that lead to health problems or well-being. Interviews with 40 men identified branching pathways from home environments into schools that either offer refuge or a regime of gender discipline and bullying. Some found escape routes from hostile environments in worlds of books, pop culture, or internet chat. In adolescence, one set of men identified the development of sexual relationships with older men as a lifeline that brought a measure of emotional growth. This study points to resilience pathways and social resources that could make a difference in the lives of those deemed to be “high risk.”

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)0.001
metaresearch head score (Gemma)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0010.001
Open science0.0000.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.045
GPT teacher head0.387
Teacher spread0.342 · 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

Citations6
Published2018
Admission routes1
Has abstractyes

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