A Descriptive Study of Athlete Self-Talk
Bibliographic record
Abstract
In this descriptive study, the four Ws (i.e., where, when, what, and why) of the use of self-talk were examined. Varsity athletes (78 male, 72 female), with a mean age of 20.68 years (SD = 1.90) read a self-statement oriented definition of self-talk and then answered the four questions in an open-ended format. Athletes reported using self-talk most frequently while partaking in their sports (when), at sport related venues (where). The “what” or content of self-talk use was categorized into five themes: nature, structure, person, task instructions, and miscellaneous. With regard to why athletes use self-talk, two main themes emerged from the data: cognitive and motivational. It was possible to further classify the two themes into seemingly specific and general levels, similar to Paivio’s (1985) classification of athletes’ use of mental imagery. Results for the present study provide descriptive data for the development of a conceptual frame work for the use of self-talk.
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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 | 0.004 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".