MétaCan
Menu
Back to cohort
Record W3113366212 · doi:10.1017/aju.2020.74

Statehood and the Olympic Games

2020· article· en· W3113366212 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

VenueAJIL Unbound · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicDoping in Sports
Canadian institutionsThompson Rivers University
Fundersnot available
KeywordsDemocracyPolitical scienceGermanInternational lawLawNarrativeCompetition (biology)International relationsTest (biology)GeographyPolitics

Abstract

fetched live from OpenAlex

Sport is a useful area of study to test assumptions of international law. International law has traditionally focused on states and on international organizations that oversee specialized areas of human activity. International sport is overseen by an NGO—the International Olympic Committee (IOC). Yet sport is of great interest to states, serving as a testing ground of national superiority by providing a simple narrative of “winners” and “losers” in competition. Meanwhile, entities that are not yet states have historically been able to participate in international sport more readily than in other areas of international relations. This essay will examine the connection between participation in the Olympic Games and claims to statehood. In doing so, this essay will outline the modern approach to statehood, consider sport's role in that approach, and examine two case studies: the German Democratic Republic, and Kosovo.

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.870
Threshold uncertainty score0.292

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 studies0.0000.001
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 head0.026
GPT teacher head0.289
Teacher spread0.262 · 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