Cross-sectional associations between medical affirmation, social connectedness, and psychological well-being in transgender and gender-diverse adults.
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.
Bibliographic record
Abstract
Many transgender and gender-diverse adults (i.e., those whose gender identities or expressions differ from their sex presumed at birth) affirm their identities medically and, in addition, rely on their social networks for identity-related support. While both medical affirmation and social connectedness are linked to well-being, their combined effects and differences across gender identities remain underexplored. The present article aimed to examine how medical affirmation and social connectedness are associated with psychological well-being among transgender men, transgender women, and nonbinary adults. Findings from a study involving 342 participants from Australia, Canada, the United Kingdom, and the United States, conducted in July 2020, revealed that medical affirmation was associated with better well-being. General social support, however, was a stronger predictor of well-being than medical affirmation. Community connectedness with trans people did not uniquely predict well-being. These findings hint at the importance of a holistic approach to gender-affirming care-one that integrates both medical affirmation and social connectedness to effectively foster trans adults' well-being.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it