Fertility Preservation Discussions with Transgender People in Canada Prior to Beginning Medical Gender Affirmation
Bibliographic record
Abstract
Background. Prevalence of fertility preservation discussions and procedures, participant characteristics associated with discussions, and prevalence of desire to parent are described.\nMethods. Describes, for a clinical sample of < 16-year-olds: medical chart-recorded discussion and procedure prevalence, and desire to parent longitudinally. Describes self-reported discussion prevalence for a community sample of 14- to 39-year-olds. Bivariate and multivariable modified Poisson analyses were conducted for this sample.\nResults. Discussion prevalence was confirmed for approximately 80% of the clinical sample, with approximately 20% unconfirmed. Self-reported discussion prevalence was 45% in the community sample. Non-binary gender with female sex at birth, greater family religiosity, and diagnosed mental health condition excluding depression or anxiety were crudely associated with less discussions. Multivariable analyses revealed no statistically significant predictors. Desire to parent was fairly consistent over time.\nConclusion. Discussions should be standard practice for all fertile patients pursuing medical gender affirmation.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".