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Record W7025245564

Training periodization and competition management in Surf Clube de Viana development team

2022· dissertation· en· W7025245564 on OpenAlexaboutno aff

Bibliographic record

VenuePortuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT) · 2022
Typedissertation
Languageen
FieldPhysics and Astronomy
TopicQuantum and Classical Electrodynamics
Canadian institutionsnot available
Fundersnot available
KeywordsInternshipTraining (meteorology)AthletesMental toughnessPeriodizationCompetition (biology)Plan (archaeology)Quarter (Canadian coin)
DOInot available

Abstract

fetched live from OpenAlex

This report presents the internship reports that took place in Surf Clube de Viana with a six months duration. The objectives were to access, monitor, and improve the performance of young surf athletes, understand the management process, and plan the sports season and training plan. The report is divided into two parts. The first part explains the problem supported by recent literature, and it clarifies what is Surfing and what is Surfing performance. The second part is a practical report of the internship activities, showing the surf performance analysis and planning of the competitive surf season. This second part also have an investigation in to practices with the objective to understand the relationship between basic psychological needs and mental toughness and the influence of gender, age, and years of sporting experience on mental strength. This internship allowed the development of ground abilities connected to planning and executing a training cycle for a particular preparation period and competing surf seasons. The tasks during the internship were diverse, and it started with the physical evaluation of athletes and went through planning the training units, monitoring the athletes' performance, providing feedback, and enhancing improvement of their capacities. It deepened the knowledge of the surfing field, its techniques, and tactics, to being able to provide more comprehensive feedback to the athletes and accomplishing all the tasks concerning performance in surfing training.

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)0.002
metaresearch head score (Gemma)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0020.000
Open science0.0010.002
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.001

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 head0.363
Teacher spread0.326 · 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
Published2022
Admission routes1
Has abstractyes

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