Assessing the Fidelity of an Affirmative Cognitive Behavioral Group Intervention
Bibliographic record
Abstract
Purpose: Support implementation fidelity in intervention research with lesbian, gay, bisexual, transgender, queer, and sexual and gender diverse (LGBTQ+) populations, this study explores the systematic development of a fidelity process for AFFIRM, an evidence-based, affirmative cognitive behavioral therapy group intervention for LGBTQ+ youth and adults. Method: As part of a clinical trial, the AFFIRM fidelity checklist was designed to assess clinician adherence. A total of 151 audio-recorded group sessions were coded by four trained raters. Results: = 12.50). Inter-rater reliability was 81%, suggesting substantial agreement. Qualitative thematic analysis of low-rated sessions identified deviations from the manual and difficulties in group facilitation, while high-rated sessions specified affirmative and effective clinical responses. Discussion: Findings were integrated into clinical training and coaching. The fidelity process provides insights into the challenges of implementing social work interventions effectively with LGBTQ+ populations in community settings.
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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 | 0.035 | 0.102 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".