Using Solution-Focused Brief Therapy and Animal-Assisted Therapy With Sexual Minorities: A Pilot Microanalysis Study
Bibliographic record
Abstract
Previous research reveals that sexual minorities have reported negative experiences with mental health professionals due to heteronormative practices (Platt et al., 2018). There is a need for mental health professionals to provide therapy that is more inclusive for sexual minorities. The core ideas and values of animal-assisted therapy (AAT) and solution-focused brief therapy (SFBT) suggest they could promote an inclusive environment. The purpose of this pilot study was to investigate the influence of SFBT and AAT on the content of therapist-client dialogue in simulated therapy sessions with sexual minorities. Findings of this study suggest both SFBT, and SFBT with AAT facilitate positive content in therapist-client dialogue. Additionally, results indicate that after the interaction with the dog in SFBT and AAT, there is significantly greater positive content and less negative content than in SFBT interviews.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".