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Record W329415191 · doi:10.1123/jis.4.1.147

The Impact of the Economic Recession on Canadian Interuniversity Sport (CIS) Programs

2011· article· en· W329415191 on OpenAlexaffabout
Todd Aughey, Karen Danylchuk, Katie Lebel

Bibliographic record

VenueJournal of Intercollegiate Sport · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicSport and Mega-Event Impacts
Canadian institutionsWestern University
Fundersnot available
KeywordsRecessionChief executive officerOfficerPolitical scienceGlobal recessionGreat recessionManagementPublic relationsPsychologyEconomicsLabour economicsLaw

Abstract

fetched live from OpenAlex

There is a paucity of research that addresses the impact of the recent economic recession on Intercollegiate Athletics programs in Canada. This study investigated the impact of the recession as it relates to Canadian Interuniversity Sport (CIS), the national governing body for university sport in Canada. Telephone interviews were conducted with the Director of Athletics at eight universities across the country, as well as the Chief Executive Officer (CEO) of the CIS. Results of the study indicated that very few schools had been asked to make dramatic reductions to programming. Athletic programs have proceeded cautiously with budget spending, suspicious that the worst may not be over. The greatest financial impacts were experienced in general University as well as athletic-specific endowments.

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)0.001
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.045
Threshold uncertainty score0.327

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0060.002
Scholarly communication0.0030.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.037
GPT teacher head0.299
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

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 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

Citations6
Published2011
Admission routes2
Has abstractyes

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