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Record W7034091073

Será que os/as internacionais jovens voltam a sê-lo nos seniores? um estudo centrado no andebol português ao longo de mais de duas décadas

2015· article· en· W7034091073 on OpenAlexaboutno aff

Bibliographic record

VenueDialnet (Universidad de la Rioja) · 2015
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicFinancial Reporting and Valuation Research
Canadian institutionsnot available
Fundersnot available
KeywordsAthletesQuarter (Canadian coin)Sample (material)Selection (genetic algorithm)Positive Youth Development
DOInot available

Abstract

fetched live from OpenAlex

This study aimed to understand if the athletes called for national handball teams in the initial stages of their development return to represent the national team as senior. The sample comprised 502 athletes - 287 men and 215 women - born between 1970 and 1985, all of whom competed at least once on national teams during the 1986/87 and 2010/11 seasons. Results highlight that only a third of the male athletes (M: 33%) and less than a quarter of the female athletes (F: 23%) that participated in the youth teams were recalled for the senior national team. When taking into consideration the results according to the category, it was observed that most athletes (M: 68%; F: 82%) who participated in the Under17 category were recalled to the Under19 category. Also approximately half of the male athletes and almost two thirds of the girls called for the Under 21 category did not participate once in the senior national team. Therefore this study seems to support the idea that there are different paths to achieve high performance in team sports. The development of opportunities for young athletes should be offered by the clubs, associations and federations, and their progress should be monitored continuously, before any process of selection or refusal.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.022
GPT teacher head0.286
Teacher spread0.264 · 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

Citations0
Published2015
Admission routes1
Has abstractyes

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