Número 410 suplemento: resúmenes del Congreso Internacional AIESEP 2015. Año LXVII 3er trimestre, 2015, nº 8 supl., VI época
Bibliographic record
Abstract
desde 1949 y de forma ininterrumpida desde 2004, actualmente tiene una periodicidad trimestral.REEFD tiene como objeto primordial colaborar en la difusión del creciente número de resultados de investigaciones originales, estudios teóricos, técnicos, experiencias prácticas de relevancia, etc. que se realizan en nuestro país y en el ámbito internacional sobre las Ciencias de la Actividad Física y del Deporte (CAFD), escritos en castellano.Los trabajos deben ser originales, no publicados ni estar siendo considerados en otra revista para su publicación, siendo los autores los únicos responsables de las afirmaciones sostenidas en su artículo.Principalmente serán considerados para publicación investigaciones científicas originales relacionadas con las siguientes áreas
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 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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.305 | 0.238 |
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".