Demonstrating LGBTQ+ Affirmative Practice in Groups:: Developing Competence through Simulation-Based Learning
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
Lesbian, gay, bisexual, transgender, queer, and other sexual and/or gender minority (LGBTQ+) populations experience significant mental and behavioral health disparities. Social workers are uniquely positioned to address these vulnerabilities. However, clinical graduate education has not effectively promoted or taught competent practice with LGBTQ+ populations. This qualitative study details the foundational competencies required for affirmative practice in group therapy with LGBTQ+ populations and describes a simulation-based learning activity designed to develop these competencies in graduate students. The following themes were identified as critical to affirmative practice, as identified through student reflections on their simulation-based learning experiences: deeply engaging in a strengths-based stance, keeping the group in group therapy, avoiding the expert trap, and managing identity assumptions. Implications for clinical social work education and practice are discussed.
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 | 0.005 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.004 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.004 |
| Insufficient payload (model declined to judge) | 0.001 | 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