The use of research‐based theatre in a project related to metastatic breast cancer
Bibliographic record
Abstract
Research-based theatre represents an innovative approach to disseminating the results of qualitative studies. In this paper, we provide a rationale for the importance of research-based theatre and also review previous work that has been done in the area. We then describe our experience in transforming research data into a dramatic production, Handle with Care? This production was based on two studies - one with women with metastatic breast cancer, and the other with medical oncologists treating breast cancer patients. Results from ongoing assessment of the project are reported. We discuss some of the factors related to the success of Handle with Care? and reflect on what has been learned about the process of developing dramatic pieces related to serious illness.
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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 | 0.097 | 0.151 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.020 | 0.029 |
| Scholarly communication | 0.010 | 0.007 |
| Open science | 0.005 | 0.022 |
| Research integrity | 0.005 | 0.009 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".