Bridging the gap between practice guidelines and the therapy room: Community-derived practice adaptations for psychological services with transgender and gender diverse adults in the central United States.
Bibliographic record
Abstract
Individuals who identify as transgender or gender diverse (TGD) are presenting at mental health clinicians' offices with increasing frequency. Many TGD clients are seeking care related to affirming their gender identity but also may present with anxiety, depression, trauma, substance abuse, or other problems for which a clinician may commonly provide services. Some clinicians may hesitate to accept TGD clients into their practice if they have little specialized training to work with this population in an affirming manner, especially in more underserved areas where a generalist practice is the norm. Numerous professional associations and experts have developed guidelines for affirmative behavioral health care for TGD people. However, what is needed are community informed recommendations to bridge from the official guidelines to clinicians' in-session activities. The Trans Collaborations Practice Adaptations for Psychological Interventions for Transgender and Gender Diverse Adults are derived from iterative interviews with TGD community members and affirming mental health clinicians in the Central United States. The 12 practice adaptations are intended to guide clinicians to adapt their usual treatment approach to be TGD affirming, especially in underserved and rural areas. The practice adaptations cover numerous aspects of practice including the office setting and paperwork, understanding gender identity and incorporating it into the case conceptualization, therapist's self-awareness, and referrals. The Trans Collaborations Practice Adaptations will help clinicians work confidently and competently with adult TGD clients, regardless of the presenting problem, to ensure TGD communities receive the best interventions for their behavioral health concerns.
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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 | 0.040 | 0.079 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.005 | 0.013 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".