Bibliographic record
Abstract
Opposition to gender-affirmative approaches to care for transgender youths by some clinicians has recently begun to consolidate around "gender exploratory therapy" as a proposed alternative. Whereas gender-affirmative approaches follow the client's lead when it comes to gender, gender-exploratory therapy discourages gender affirmation in favor of exploring through talk therapy the potential pathological roots of youths' trans identities or gender dysphoria. Few detailed descriptions of the approach's parameters have been offered. In this article, I invite clinicians to reflect on gender-exploratory therapy through a series of questions. The questions are followed by an exploration of the strong conceptual and narrative similarities between gender-exploratory therapy and conversion practices. Finally, the ethical dimensions of gender-exploratory therapy are discussed from the lenses of therapeutic neutrality, patient-centered care, loving attention, and therapeutic alliance, suggesting that the approach may be unethical.
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 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 | 0.032 | 0.031 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.017 | 0.085 |
| Scholarly communication | 0.013 | 0.010 |
| Open science | 0.002 | 0.013 |
| Research integrity | 0.009 | 0.011 |
| 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".