Gender Creative or Transgender Youth and Advanced Nursing Practice.
Bibliographic record
Abstract
The World Professional Association for Transgender Health (WPATH) defines gender dysphoria as "Discomfort or distress that is caused by a discrepancy between a person's gender identity and that person's sex assigned at birth (and the associated gender role and/or primary and secondary sex characteristics)" (WPATH, 2016). Gender creative (GC) and transgender (TG) youth are at high risk for severe mental health disparities if they don't receive competent and timely gender transitioning care. Although awareness and early care of TG youth in specialty clinics is improving and increasing, there is still much effort that is required to eliminate barriers to care at many levels and thus improve outcomes. Nurses, particularly advanced practice nurses, are poised to lead the way in creating safe, inclusive, family centered spaces for TG and GC children, youth and their families as well as acting as vital mentors for other nurses. The purpose of this paper is to discuss the increasing prevalence of GC and TG youth, the significance of inclusive care for GC and TG youth, treatment guidelines, and the impact parents and advanced practice nurses can have on the journey of these youth as they explore and find their place on the gender spectrum.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".