The space in between: Notes on a research-based play about moral injury and the transition to civilian life
Bibliographic record
Abstract
. Each scene in the play represents one of the major themes that emerged during interview sessions (family, betrayal, brotherhood and mothering, public honour, sickness and coping). Sub-themes (heroism, the body, militarized masculinity, the role of women) became smaller or transition scenes in the play. This project was inspired by the work of Jonathan Shay, who looked to ancient Greek theatre to develop his concept of moral injury and who argued that healing will only take place in community. This arts-based and adult-education-focused research project explores the nuances of moral injury and the themes of guilt, shame, betrayal, and anger at its core. Dominant biomedical framings of military trauma (the diagnostic category of posttraumatic stress disorder) and resulting treatment approaches sometimes fall short and can risk individualizing and pathologizing normal human reactions to the emotions at the core of moral injury that, the author argues, merit philosophical and aesthetic (not only psychiatric) exploration.
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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 | 0.006 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.033 | 0.039 |
| Scholarly communication | 0.010 | 0.005 |
| Open science | 0.003 | 0.008 |
| Research integrity | 0.006 | 0.016 |
| 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".