Predisposing, reinforcing, and enabling factors of trans-positive clinical behavior change: A summary of the literature
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Transgender, transsexual, and other gender minority (trans) populations experience numerous health disparities in comparison to cisgender (non-trans) groups. Many trans and gender nonconforming people report interactions with health care providers who lack knowledge about the client's specific health care needs and in some cases discrimination from health care providers, which leads to health care avoidance behaviors and poor health outcomes. Trans-positive health care interventions are necessary in order to improve health care access and outcomes for this marginalized group. In this paper we (a) synthesize literature in the areas of trans-positive care and clinical behavior change according to predisposing, reinforcing, and enabling factors, factors to be addressed as a part of the Precede-Proceed model, a model to develop and evaluate behavior change interventions, and (b) discuss future directions for research and program development with the goal of improving access to competent and quality health care for trans populations.
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.
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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it