Concussion killjoys: CTE, violence and the brain’s becoming
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
Abstract CTE, or chronic traumatic encephalopathy, is caused by repetitive head trauma and detected by a distinctive stain for a protein called ‘tau’ in autopsied brain tissue. While the number of diagnosed patients is only in the hundreds, the cultural footprint of the disease in North America is huge, both because those diagnosed are often celebrity-athletes and because millions of children, adolescents and young men and women play collision sports like football and hockey. We argue that the widespread attention to CTE provides a useful wedge to crack open another, heretofore neglected public health concern: repetitive acts of violence in and around hypermasculine sports create subjects whose brains—and characters—are materially shaped by that violence. Brains change materially when delivering blows as well as receiving them, when participating in degrading hazing rituals as victim or assailant, when belittled or assaulted by a coach, when approaching an upcoming game riddled with fear. We adopt a biosocial model of the brain’s becoming to intervene in a linear discourse around CTE that medicalizes and oversimplifies violence, a story that prematurely dissects one slice of the problem from a noxious whole.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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