MétaCan
Menu
Back to cohort
Record W1997461925 · doi:10.1080/15532739.2011.663243

Depression in Trans People: A Review of the Risk Factors

2012· review· en· W1997461925 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

VenueInternational Journal of Transgenderism · 2012
Typereview
Languageen
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsCentre for Addiction and Mental Health
Fundersnot available
KeywordsTransgenderTranssexualSocioeconomic statusDepression (economics)Mental healthPsychologyMoodPsychiatryClinical psychologyMedicineEnvironmental healthPopulation

Abstract

fetched live from OpenAlex

ABSTRACT Depression is a commonly occurring syndrome characterized by mood-related symptoms; however, it is understudied among trans people (transgender, transsexual, or transitioned). A review of the existing literature on depression revealed eight factors pertinent to trans communities including discrimination, disclosure, identity support, hormones and sex-reassignment surgeries, sociodemographics, socioeconomic factors, substance use, and access to health and social services. This report demonstrates that depression in trans people is a multifaceted condition, which is not easily explained by a single factor. Developing an understanding of such complexities may open the door to more sensitive and appropriate mental health care for trans people.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.918
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.111
GPT teacher head0.451
Teacher spread0.340 · 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