Using interactive theatre to help fertility providers better understand sexual and gender minority patients
Bibliographic record
Abstract
OBJECTIVE: To determine the effectiveness of interactive theatre as a knowledge translation and exchange (KTE) method to educate assisted human reproduction (AHR) service providers about lesbian, gay, bisexual, trans and queer (LGBTQ) patients. DESIGN: We transformed data from the 'Creating Our Families' study, a qualitative, community-based study of LGBTQ peoples' experiences accessing AHR services, into a script for an interactive theatre workshop for AHR service providers. Based on forum theatre principles, our workshop included five scenes illustrating LGBTQ people interacting with service providers, followed by audience interventions to these scenes. Before and after the workshop, service providers completed surveys to assess their knowledge and comfort concerning LGBTQ patients, as well as the modality of the interactive theatre workshop as a KTE strategy. Wilcoxon signed-rank tests were used to determine changes in preworkshop and postworkshop knowledge and comfort scores. RESULTS: Thirty AHR service providers attended the workshop. Twenty-three service providers (76.7%) fully completed the preworkshop and postworkshop evaluation forms. Service providers' knowledge scores significantly improved after the workshop, while their comfort scores minimally decreased. Most agreed that the interactive workshop was an effective KTE method. CONCLUSIONS: In comparison with traditional forms of KTE, interactive theatre may be particularly effective in engaging service providers and addressing their attitudes towards marginalised patient populations. Although the evaluation results of our interactive workshop were mostly positive, the long-term impact of the workshop is unknown. Long-term evaluations are needed to determine the effectiveness of arts-based KTE efforts. Other considerations for developing effective arts-based KTE strategies include adequate funding, institutional support, attention to power dynamics and thoughtful collaboration with forum theatre experts.
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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 | 0.004 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.026 | 0.002 |
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".