STRESSORS AMONG SOUTH AFRICAN SOCCER OFFICIALS: A PROFILE ANALYSIS
Bibliographic record
Abstract
The purpose of this study was to determine the contribution of selected stressors to the level of stress experienced by South African soccer officials. Forty-two South African Football Association (SAFA) accredited officials, attending a training camp in Potchefstroom, participated in this study. The group comprised of 40 male and two female officials. The average age of the officials was 37.52 (±6.09) years, and the period for which they were accredited as a SAFA official ranged from 2 to 27 years. The Ontario Soccer Officials’ Survey (OSOS) was used to determine the perceived levels of stress. The results indicated that fitness concerns were rated as the highest contributor to the stress experienced followed by role-culture conflicts, fear of failure, peer conflicts, interpersonal conflict, time pressures and lastly, fear of physical harm. The Spearman Rank Order Correlation showed a high correlation between the number of years the officials were accredited with SAFA and the total level of stress they experienced. Furthermore, the results indicated that 60% of the officials, who served as an accredited official for longer than 12 years, experienced five to seven stressors, which contributed to the total level of perceived stress
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".