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Record W4386543077 · doi:10.1590/rbce.45.e20230022

University sport and scholarship funding for student-athletes: possibilities and limitations to sports performance

2023· article· en· W4386543077 on OpenAlex
Alex Caiçara de Albuquerque, E Costa, Da Silva

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueRevista Brasileira de Ciências do Esporte · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicPhysical Education and Sports Studies
Canadian institutionsnot available
FundersCoordenação de Aperfeiçoamento de Pessoal de Nível Superior
KeywordsScholarshipAthletesQuarter (Canadian coin)InstitutionPolitical scienceMedical educationValue (mathematics)SociologyPublic relationsMedicinePhysical therapyHistoryLaw

Abstract

fetched live from OpenAlex

ABSTRACT The study investigated the policy of funding sports scholarships to student-athletes linked to the Federal University of Mato Grosso do Sul, Brazil. This is exploratory and documentary research, with an analysis of the opening and results edicts of the Athlete Scholarship Program (2010-2021). The institution has the Athlete Scholarship Program. Scholarships were paid R$400.00, with an annual duration of 9 and 7 months, with emphasis on individual sports, especially wrestling, athletics, and swimming. It is concluded that the university presents a policy that favors the sport of institutional representation, however, not the high performance, given the low value of the scholarship and the non-payment of it in the first quarter of all the years analyzed.

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 score0.053
Threshold uncertainty score0.808

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 studies0.0010.000
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 head0.075
GPT teacher head0.346
Teacher spread0.271 · 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