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Record W286009791 · doi:10.1123/ssj.28.4.387

Sport’s Doping Game: Surveillance in the Biotech Age

2011· article· en· W286009791 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

VenueSociology of Sport Journal · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicDoping in Sports
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsScholarshipScrutinyAssemblage (archaeology)Agency (philosophy)Transparency (behavior)AthletesPublic relationsSociologyPolitical scienceLawSocial scienceMedicineHistory

Abstract

fetched live from OpenAlex

While a considerable amount of work has centered on the doping problem within sport scholarship, little extended attention has been given to drug testing as a surveillance system in itself. The paper draws from Haggerty and Ericson’s (2000) surveillant assemblage model to highlight the increasing convergence of once discrete surveillance systems now evident in the World Anti-Doping Agency’s (WADA) recent policy changes. It outlines the unique contribution that Deleuzian assemblage theory offers doping and sport scholarship. Assemblage theory opens up a line of research to study how surveillance is produced through the continuous monitoring of information across multiple interacting control systems. The article draws from WADA policy documents to suggest that the changing dynamics of transparency within sport increasingly place all athletes under more intense and nuanced scrutiny for any signs of suspicious activity.

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)0.005
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.052
Threshold uncertainty score0.756

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.059
GPT teacher head0.324
Teacher spread0.265 · 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