Transphobia and Other Stressors Impacting Trans Parents
Bibliographic record
Abstract
Limited research regarding transsexual or transgender (trans) parents has often focused on their children. This analysis represents the first published profile of trans parents (N = 110) from a large probability-based sample of trans people (N = 433). The Trans PULSE Project used respondent-driven sampling to collect survey data from trans people in Ontario, Canada. Trans parents differed from nonparents in that they were older, more educated, and had higher personal incomes. Trans parents did not differ significantly from nonparents in the level of transphobia they experienced and many reported being impacted by multiple stressors. A majority felt that being trans had hurt or embarrassed their family, worried about growing old alone because they are trans, or had been made fun of for being trans. A substantial minority had been turned down for a job, had to move away, been hit or beat up, been harassed by police, or been fired from a job because they were trans. Some reported no legal access to their child (18.1%) or having lost custody or having custody reduced because they were trans (17.7%). Recommendations are made for mental health professionals to support trans parents and their families through psychosocial support, family therapy, professional training, and advocacy.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".