Political tools or ‘supercrips’? Civilian interpretation of wounded veterans at the Canada army run
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The figure of the wounded veteran is a significant problem for the state as visual wounds make manifest the toll of war. If not appropriately mediated, veteran injury may communicate to the public that the cost of war is too high. The state and media organizations working on its behalf thus manage mediated representations in ways that rehabilitate the wounded veteran, communicating narratives of redemption, hope, and overcoming. Significant work has critiqued the political work of mediated depictions of wounded veteran-athletes at events like the Invictus Games and Paralympics, but little work has explored civilian responses. This paper explores civilian responses to the presence of wounded veterans at a military-themed amateur athletic event, the Canada Army Run, as determined through in-depth, semi-structured interviews with 40 event participants. Though wounded veteran-athletes comprise a tiny minority of Army Run participants, their presence captures the imagination of many civilian runners. Analysing civilian participants’ interpretation of wounded veteran-athletes allows for insight into the degree to which rehabilitative discourses dominating media depiction of wounded veterans at the Invictus Games and Paralympics has permeated the popular imaginary. I found that while veteran injury was often taken for granted as inevitable, veterans’ wounds generated significant support for servicepeople specifically, and to a lesser extent the Canadian Armed Forces at large. However, affects of sympathy and support did not preclude critique of veteran treatment by the state, demonstrating that even at explicitly pro-military events space for dissent is possible.
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| 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 it