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Record W4224241005 · doi:10.1080/00918369.2022.2060056

Identity Development and Self-Esteem in Transgender Men: The Importance of Masculinity

2022· article· en· W4224241005 on OpenAlexaboutno aff
Wind Goodfriend, Amber L. Garcia, Ann E. Hoover, Meara M. Habashi, Tay Hack, Angus Raymond

Bibliographic record

VenueJournal of Homosexuality · 2022
Typearticle
Languageen
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsTransgenderPsychologySelf-esteemMasculinityMinority stressIdentity (music)Mental healthSocial psychologyIdentity formationDevelopmental psychologyAnxietyMediationSexual minorityClinical psychologySelf-conceptSexual orientationSociologyPsychotherapist

Abstract

fetched live from OpenAlex

Because transgender people often suffer from concerns such as increased depression and anxiety, promoting positive and healthy mental well-being within this community is valuable. Two aspects of well-being that may be particularly relevant to the trans community are identity development and self-esteem. We hypothesized that a better overall transition experience (access to medical and psychological care, support from friends and family, etc.) would predict better identity development, individual self-esteem, and collective self-esteem in transgender men. This prediction was supported in a sample of 145 transmen from 15 different countries. Further exploratory analyses reveal that the direct effects of the transition process on identity development and individual self-esteem were significantly mediated by participants' perceived masculinity-but this mediation did not apply to collective self-esteem. We also found that when comparing overall transition experiences in the countries represented in our sample, the process was most positive in transmen from Australia and New Zealand, with experiences in the U.S., Canada, and Europe as less positive. Providing a supportive transition process and validating transmen's masculinity are important factors in paving the way for them to have healthy identity development and self-esteem.

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 score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
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 head0.061
GPT teacher head0.386
Teacher spread0.325 · 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

Citations7
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueJournal of HomosexualitySame topicLGBTQ Health, Identity, and PolicyFrench-language works237,207