MétaCan
Menu
Back to cohort
Record W6985842824

Five Ring Fraud

2016· article· en· W6985842824 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicDoping in Sports
Canadian institutionsnot available
Fundersnot available
KeywordsAgency (philosophy)Government (linguistics)Christian ministryAthletesPoliticsState (computer science)
DOInot available

Abstract

fetched live from OpenAlex

On Monday, the World Anti-Doping Agency released an independent report it commissioned to investigate allegations of widespread, state-sponsored doping in Russian sport. The report, prepared by Canadian sports law expert Richard McLaren, concluded "beyond a reasonable doubt" that the Russian government orchestrated an extensive program of athlete doping and cover-ups in at least 30 sports. The agency and the leaders of several national anti-doping organizations, including Travis Tygart of the United States Anti-Doping Agency, have called on the International Olympic Committee to ban all Russian athletes from the upcoming Summer Games in Rio de Janeiro.\nWhile the IOC has banned nations from participating in the Olympic Games for political reasons, such as with South Africa due to apartheid, no nation has been banned for reasons relating to sport. Yet such a ban on Russia would seem consistent with the Olympic Charter, which states that among the fundamental values of Olympism are "respect for fundamental ethical principles." These principles clearly were absent from Russia's understanding of the Olympic values, as the McLaren report documented its "Disappearing Positive Methodology" – the way in which officials manipulated athlete samples to ensure they beat drug tests. The IOC is set to decide whether to ban Russia from the Rio Olympics in the coming days. In the meantime, the IOC has imposed sanctions, including ordering a full investigation of all Russian athletes who participated in the Sochi Winter Olympics in 2014 and a ban on all Russian sports ministry officials from the Rio Games.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.909
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.022
GPT teacher head0.316
Teacher spread0.294 · 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.

Study designNot applicable
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
Published2016
Admission routes1
Has abstractyes

Explore more

Same topicDoping in SportsFrench-language works237,207