Developing Athletes in the Context of Sport and Performance Psychology
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract Talent development in sport is achieved through years of preparation and requires constant interaction between personal and contextual resources. Accordingly, extensive research has been dedicated to understanding factors that contribute to sport performance. Literature suggests the factors influencing athletic development can be classified in terms of the physical environment, the social environment, and engaging learning activities. Investigations pertaining to the physical environment suggest the importance of appropriate settings, which can relate to the sport organization or the larger community. Researchers must also cogitate the activities in which athletes take part. These considerations involve the maturational status of athletes, the volume of deliberate practice and play, and early specialization versus diversification. Finally, the salience of the social environment in relation to sport performance cannot be overlooked. Not surprisingly, the relations established with social agents (i.e., coaches, peers/teammates, parents) can facilitate or impede the developmental process. Consequently, the development of athletes in the context of sport and performance psychology extends past the individual and is influenced by several factors that must be discussed.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.003 | 0.000 |
| Research integrity | 0.002 | 0.004 |
| 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 it