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Record W4292425710 · doi:10.1123/cssm.2020-0016

Costing Participation in Sport: The Best Option Dilemma of a Student-Athlete

2022· article· en· W4292425710 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

VenueCase Studies in Sport Management · 2022
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicSports Analytics and Performance
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsRowingGriffinCoachingDilemmaClubActivity-based costingBest practiceAthletesBusinessPublic relationsMarketingPsychologyOperations managementManagementPolitical scienceEngineeringEconomicsMedicinePhysical therapyGeography

Abstract

fetched live from OpenAlex

Rebecca Griffin, a student-athlete, is coming off the best off-season training program of her 8 years as a rower. She is highly motivated knowing that a strong summer season could propel her to be both a major contributor to her university team in the fall and a contender to make it to the National Under 23 team. However, before she can pursue her athletic dreams, she needs to decide where she is going to row this summer and figure out if she can afford to pay for it. She needs to assess and consider the benefits and drawbacks of her summer rowing club options. Her considerations include club registration fees, travel, equipment, coaching, and competition entry costs for each, and how they will contribute to her career goals in rowing. Therefore, while working toward her goals, Rebecca must consider the affordability of her options, and make the best decision she can.

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)0.001
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 score0.073
Threshold uncertainty score0.452

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 head0.082
GPT teacher head0.323
Teacher spread0.240 · 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