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Record W2093216838 · doi:10.1177/0193723513515890

Beyond the War on Drugs? Notes on Prescription Opioids and the NFL

2013· article· en· W2093216838 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Sport and Social Issues · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicDoping in Sports
Canadian institutionsQueen's University
Fundersnot available
KeywordsProblematizationFootballLeaguePublic relationsMedical prescriptionAmerican footballSociologySociology of sportCriminologyPolitical sciencePsychologyMedia studiesAdvertisingMedicineEpistemologySocial scienceBusinessPharmacologyLaw

Abstract

fetched live from OpenAlex

The recent problematization of opioid use among National Football League players presents an opportunity for scholars to rethink conventional approaches to drugs in sport, and to incorporate into their analyses a consideration of medically authorized substances. Such an undertaking may help illuminate the social dimensions of painkilling and the contextual complexity that fades from view in seemingly compassionate media portrayals of the struggles of former players who are living in pain and dependent on drugs. It may also offer new insights into more established traditions of research on cultures of drug use in sport.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.458
Threshold uncertainty score0.640

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.015
GPT teacher head0.296
Teacher spread0.281 · 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