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Record W3182003630 · doi:10.1089/trgh.2020.0171

Association of Discrimination, Violence, and Resilience with Depressive Symptoms Among Transgender Women in Rio de Janeiro, Brazil: A Cross-Sectional Analysis

2021· article· en· W3182003630 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueTransgender Health · 2021
Typearticle
Languageen
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsMcGill UniversityJewish General HospitalMcGill University Health Centre
FundersNational Institute of Allergy and Infectious Diseases
KeywordsTransgenderDepressive symptomsAssociation (psychology)Mental healthPsychological resilienceCohortClinical psychologyCross-sectional studyPsychologySuicide preventionSexual violencePoison controlPsychiatryMedicineDemographyEnvironmental healthInternal medicineSocial psychologySociology

Abstract

fetched live from OpenAlex

Transgender women experience violence and discrimination that lead to stress responses and contribute to poor mental health. In this analysis of baseline data from Transcendendo , a trans-specific open cohort in Rio de Janeiro, Brazil, we hypothesized that the experience of discrimination and violence would be associated with depressive symptoms and that resilience could mitigate this association. Results showed that prior experiences with discrimination and sexual and physical violence were associated with depressive symptoms, while resilience was inversely associated with depressive symptoms. Resilience did not moderate nor mediate the strong effects of discrimination and violence on depressive symptoms in adjusted models.

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.

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 score0.022
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.019
GPT teacher head0.363
Teacher spread0.345 · 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