MétaCan
Menu
Back to cohort
Record W7097130524

is A Critical Examination of the Involvement of Canadian High-Performance Athletes in the Development of Anti-Doping Policy

2006· article· en· W7097130524 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicDoping in Sports
Canadian institutionsnot available
Fundersnot available
KeywordsAthletesElite athletesCorporate governanceEliteProcess (computing)Set (abstract data type)Policy development
DOInot available

Abstract

fetched live from OpenAlex

f'->^ The use of certain performance enhancing substances and methods has been defined as a major ethical breach by parties involved in the governance of high-performance sport. As a result, elite athletes worldwide are subject to rules and regulations set out in international and national anti-doping policies. Existing literature on the development of policies such as the World Anti-Doping Code and The Canadian anti-Doping Program suggests a sport system in which athletes are rarely meaningfully involved in policy development (Houlihan, 2004a). Additionally, it is suggested that this lack of involvement is reflective of a similar lack of involvement in other areas of governance concerning athletes ' lives. The purpose of this thesis is to examine the history and current state of athletes ' involvement in the anti-doping policy process in Canada's high-performance sport system. It includes discussion and analysis of recently conducted interviews with those involved in the policy process as well as an analysis of relevant documents, including anti-doping policies. The findings demonstrate that Canadian

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 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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.475
Threshold uncertainty score0.443

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
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 head0.034
GPT teacher head0.297
Teacher spread0.263 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2006
Admission routes1
Has abstractyes

Explore more

Same topicDoping in SportsFrench-language works237,207