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Record W2292538032 · doi:10.1177/0008417416635346

Male-to-female transitions: Implications for occupational performance, health, and life satisfaction

2016· article· en· W2292538032 on OpenAlexvenueno aff
Michal Avrech Bar, Tal Jarus, Mineko Wada, Leora Rechtman, Einav Noy

Bibliographic record

VenueCanadian Journal of Occupational Therapy · 2016
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsnot available
Fundersnot available
KeywordsTransgenderPsychologyCompetence (human resources)Occupational therapyClinical psychologyGender identityLife satisfactionGerontologyMedicineSocial psychologyPsychiatry

Abstract

fetched live from OpenAlex

BACKGROUND: People who undergo a gender transition process experience changes in different everyday occupations. These changes may impact their health and life satisfaction. PURPOSE: This study examined the difference in the occupational performance history scales (occupational identity, competence, and settings) between male-to-female transgender women and cisgender women and the relation of these scales to health and life satisfaction. METHOD: Twenty-two transgender women and 22 matched cisgender women completed a demographic questionnaire and three reliable measures in this cross-sectional study. Data were analyzed using a two-way analysis of variance and multiple linear regressions. FINDINGS: The results indicate lower performance scores for the transgender women. In addition, occupational settings and group membership (transgender and cisgender groups) were found to be predictors of life satisfaction. IMPLICATIONS: The present study supports the role of occupational therapy in promoting occupational identity and competence of transgender women and giving special attention to their social and physical environment.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.098
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.307
GPT teacher head0.503
Teacher spread0.196 · 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.

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

Citations22
Published2016
Admission routes1
Has abstractyes

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