TO THE QUESTION OF THE CLASSIFICATION OF THE RIGHTS AND OBLIGATIONS OF PROFESSIONAL ATHLETES
Bibliographic record
Abstract
Abstract: based on the identified criteria, the article differentiates the basic rights and obligations of professional athletes. Attention is drawn to the fact that the formation and implementation of the rights and obligations of a professional athlete is significantly influenced by the nature of the components of the regulation within which they arose. The content and scope of athletes' rights are linked to one or another stage of their professional development, which is always based on personal will and choice. The normative description of a number of rights and obligations of professional athletes is based on the fact that certain circumstances or actions have already been committed, which is important to take into account when assessing the actual existence of rights. In addition, certain rights and obligations arise only if they are included in the text of the contract. As a result of the analysis, the article concludes that the rights and obligations of a professional athlete and their relationship constitute the central element of sports and sports law, regardless of the interpretation of their meaning and scope.
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 | 0.016 | 0.023 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.006 | 0.040 |
| Scholarly communication | 0.009 | 0.008 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.006 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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; 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".