The relationship between early maladaptive schemas and mental skills with goal orientation of footballers
Bibliographic record
Abstract
This study aims to investigate the relationship between early maladaptive schemas and mental skills by interpreting the footballer's competitive anxiety and goal orientation. The research methodology is descriptive using correlational models. According to the predictor variables of early maladaptive schemas and mental skills, goal orientation and competitive anxiety are predicted in a sample of footballers in the Premier League and Azadegan League. The research population consisted of all footballers in the Premier League and Azadegan League. Considering the formula, the sample size was chosen 200 using convenience sampling method from Premier and Azadegan Leagues’ football teams. The measurement tools include Young Schema Questionnaire-Short Form (YSQ-SF; Young, 1998), The Ottawa Mental Skills Assessment Tool 3 (OMSAT-3), Task and Ego Orientation in Sport Questionnaire (TEOSQ) and Competitive State Anxiety Inventory-2 (CSAI-2). In the statistical analysis of the data, descriptive and inferential indicators and methods were used. The research hypotheses were tested by standardized multiple regression analysis and finally, the conclusion based on the hypotheses was that there was a relationship between some components of early maladaptive schemas and mental skills with goal orientation of footballers.
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".