Análisis del rendimiento del Complejo 1 Feel Volley Alcobendas
Bibliographic record
Abstract
El análisis de juego en voleibol es cada vez más importante en voleibol, y es uno de los elementos fundamentales en el alto rendimiento para ganar partidos, así como las herramientas utilizadas para la toma de datos. El objetivo de este trabajo es, a través de los datos obtenidos de la herramienta Data Volley 2007, hacer un estudio de juego de la fase K1 del equipo Feel Volley Alcobendas en todas sus rotaciones, a partir de los datos de recepción, colocación y ataque. Asimismo se muestran los datos de cada una de las jugadoras del equipo en todas las acciones que han realizado en los partidos. El equipo se encuentra actualmente disputando la Superliga femenina, y los partidos que se han tomado para dicho análisis son los 11 primeros correspondientes a la primera vuelta de la temporada 2013/2014. Tras analizar e interpretar los datos, se presentan las conclusiones sacadas del estudio.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.018 | 0.002 |
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".