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Record W2286880355 · doi:10.7870/cjcmh-2011-0008

Depression Among Aboriginal People Living With HIV in Canada

2011· article· en· W2286880355 on OpenAlexafffundvenueabout
Roy Cain, Randy Jackson, Tracey Prentice, Judy Mill, Evan Collins, Kevin Barlow

Bibliographic record

VenueCanadian Journal of Community Mental Health · 2011
Typearticle
Languageen
FieldMedicine
TopicHIV/AIDS Research and Interventions
Canadian institutionsUniversity of OttawaUniversity of AlbertaCAAN Communities, Alliances & NetworkUniversity of TorontoMcMaster University
FundersCanadian Institutes of Health ResearchOntario HIV Treatment Network
KeywordsDisconnectionFeelingHuman immunodeficiency virus (HIV)Depression (economics)PsychologyIsolation (microbiology)RacismPsychiatryMedicineSocial psychologySociologyGender studiesPolitical scienceFamily medicine

Abstract

fetched live from OpenAlex

This paper explores the ways that Aboriginal people living with HIV and AIDS experience feelings of depression. Seventy-two individuals participated in an in-depth semi-structured interview. Many participants described their depression in terms of their relationships, including isolation or a disconnection from people, communities, and culture. Depression was closely linked to their individual experiences with racism, a history of fostering and adoption, childhood abuse, disconnection from family and community, and substance abuse. The paper ends with a discussion of how our findings compare to those from research on non-Aboriginal populations and with a consideration of their service-related implications.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.036
Threshold uncertainty score0.087

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0070.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.029
GPT teacher head0.322
Teacher spread0.293 · 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 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

Citations8
Published2011
Admission routes4
Has abstractyes

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