Violent Impacts : How Power and Inequality Shape the Concussion Crisis (Edition 1)
Bibliographic record
Abstract
<B>A free ebook version of this title is available through Luminos, University of California Press’s Open Access publishing program. Visit <a href="http://doi.org/10.1525/luminos.241">www.luminosoa.org</a> to learn more</B>.<BR /><BR /> Concerns regarding brain injury in sport have escalated into what is often termed a “concussion crisis,” fueled by high-profile lawsuits and deaths. Although athletes are central figures in this narrative, they comprise only a small proportion of the people who experience brain injuries, while other high-risk groups—including victims of domestic violence and police brutality—are all too often left out of the story. In <I>Violent Impacts</I>, Kathryn Henne and Matt Ventresca examine what is and what isn’t captured in popular discourse, scrutinizing how law, science, and social inequalities shape depictions and understandings of brain injury. Drawing on research carried out in Australia, Canada, and the United States, they illustrate how structural violence centers certain bodies as part of the concussion crisis while pushing others to the margins.
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How this classification was reachedexpand
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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.010 | 0.009 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.006 | 0.009 |
| Open science | 0.004 | 0.011 |
| Research integrity | 0.001 | 0.005 |
| Insufficient payload (model declined to judge) | 0.011 | 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 itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".