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Record W2020283719 · doi:10.3167/aia.2010.170105

Going South: Canadians' Engagement with American Athletic Scholarships

2010· article· en· W2020283719 on OpenAlexfundaboutno aff
Noel Dyck

Bibliographic record

VenueAnthropology in Action · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicSports, Gender, and Society
Canadian institutionsnot available
FundersH2020 European Research CouncilSimon Fraser University
KeywordsEliteAmbivalenceCompetition (biology)AthletesContext (archaeology)Gender studiesPolitical scienceSociologyPsychologySocial psychologyHistoryPoliticsLawMedicine

Abstract

fetched live from OpenAlex

This article examines the dynamics and implications of Canadians' pursuit of and ambiguous engagement with athletic scholarships offered to elite athletes by American colleges and universities. After sketching in the broader social and cultural context within which the movement of Canadian athletes to the U.S. occurs, it considers ways in which reckonings of high achievement in sport and other fields of performance tend to be constructed in Canada in terms of transnational and global comparisons. By examining how and why innumerable Canadian children and youths, with the assistance of parents and other adults, come to focus upon the pursuit of American athletic scholarships, this article seeks to penetrate an ambivalent form of competition that rewards its winners by taking them away from their families and country for a period of years just as they enter adulthood.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.047
Threshold uncertainty score0.337

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.004
Science and technology studies0.0470.013
Scholarly communication0.0090.002
Open science0.0020.007
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0070.000

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 head0.046
GPT teacher head0.359
Teacher spread0.313 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations5
Published2010
Admission routes2
Has abstractyes

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