Estrategia para la planificación del rendimiento durante un mesociclo competitivo
Bibliographic record
Abstract
The insufficient sport results of the masculine volleyball team, in the olympic cycle 2012- 2016 and the necessity of to get a classification in the tourney pre-Olympic of Edmonton- Canada 2016 with a novel team, made to create a new strategic of planning of efficiency during a competitive mesocycle. It was making a document review of the training planning and their basement teoric- metodologic with particular attention to the models of Matveev, Verkhoshansky, A.T.R to the Accession, Transformation and Realization, all they contextualized in a mesocycle. It was used the observation to training unid, it was making some interviews to different trainers and questionnaire to experts, with the porpuse of diagnosticate the state of starting and to attend the strategic actions to get the wisheds results in the next competition. The combination of several models of the planning of sport training was the base for to get the Olympic classification.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".