The Coping Strategies Employed by Female College Athletes after Losing a Game
Bibliographic record
Abstract
The purpose of this study is to examine the coping strategies employed by university athletes who have lost in acompetition. A sample of ten hand ball women athletes (age between 21-24 years old) who represented one ofthe largest universities in Kuala Lumpur in the Malaysian Inter-varsity games agreed to participate in this study.All of the athletes have signed the consent letter, giving their permission for the interview to be recorded. Theresult for content analysis has identified two major dimensions; 1) how athletes cope, and 2) ways to cope. In thefirst dimension (how athletes cope), three major themes have emerged from the interview, which are socialsupport, problem solving, and doing other activities. On the other hand, the second dimension (ways to cope) hasidentified two major themes, which are concentration and self confidence. However, social support has beenclaimed by losing athletes as the main coping strategy used to overcome their grief after losing the competition.Suggestions are also recommended in the paper.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".