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Record W7104176319 · doi:10.1123/ssj.2024-0287

The Invisible Labor of Women in the Construction of the National Football League’s Chronic Traumatic Encephalopathy and Concussion Crisis

2025· article· W7104176319 on OpenAlexaff

Bibliographic record

VenueSociology of Sport Journal · 2025
Typearticle
Language
FieldMedicine
TopicTraumatic Brain Injury Research
Canadian institutionsUniversity of TorontoUniversity of British Columbia, Okanagan CampusUniversity of British Columbia
Fundersnot available
KeywordsChronic traumatic encephalopathyFootballConcussionCredibilityPower (physics)Work (physics)Poison controlInjury prevention

Abstract

fetched live from OpenAlex

The origin story of the National Football League’s concussion crisis and the link between chronic traumatic encephalopathy (CTE) and football have mostly been portrayed through discourses led by scientists, athletes, and sports organizations, with the wives, daughters, and family members of football players largely remaining tertiary characters in this story. In this paper, we show how women are engines of the concussion and CTE crisis in the National Football League, whose work is vital both in the science and public understanding of CTE. However, we show the economic power of football constrains their messages. We argue that these women can capture the discursive space to talk about CTE largely because of the cultural resonance of football, though paradoxically, is it this same cultural resonance that denies them credibility as messengers and victims.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.976
Threshold uncertainty score0.079

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.007
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0240.044
Scholarly communication0.0130.007
Open science0.0010.009
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0040.001

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.

Opus teacher head0.031
GPT teacher head0.342
Teacher spread0.311 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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