Transitioning Home: Research-based theatre with Returning Servicemen and their Families
Bibliographic record
Abstract
The Difficult Return was an Australian Research Council Discovery-funded project that aimed to explore arts-based approaches to supporting mental health resilience of returning military personnel and their families. The research team consisted of arts, public health, and military researchers and enacted three different applied arts projects between 2011 and 2014 in Brisbane, Australia.1 The projects were focused on three areas: (1) awareness – online digital films; (2) motivation – the development of The Return, a research-based theatre piece featuring ex-servicemen and actors; and (3) action – The Veterans Transition Program, a psycho-educational program that used elements of role-play and enactment, in partnership with the University of British Columbia, Canada (Balfour, Westwood, & Buchanan, 2014). In this chapter we focus on The Return play, and how the writer-researcher used a variety of data sources (interviews, psychological research, policy documents, literature) to weave together an insightful text that aimed to capture the intimacy of living with posttraumatic stress (PTS) and its impact on relationships.
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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 | 0.012 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.024 | 0.013 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.003 | 0.011 |
| Research integrity | 0.003 | 0.008 |
| Insufficient payload (model declined to judge) | 0.016 | 0.004 |
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".