The Utility of the State Space Grid Method for Studying Peer Interactions in Youth Sport
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
Although previous studies indicate that peer interactions represent an important component of the youth sport experience, studies examining peer interactions in the sport context are limited. Furthermore, the methodological tools commonly used to investigate peer interactions have restricted researchers’ understandings of the complex, reciprocal nature of these experiences. This paper outlines the potential contribution of a novel dynamic systems-based methodology, the state space grid method (SSG; Lewis, Lamey, & Douglas, 1999 Lewis, M. D., Lamey, A. V. and Douglas, L. 1999. A new dynamic system method for the analysis of early socioemotional development. Developmental Science, 2: 457–475. [Crossref], [Web of Science ®] , [Google Scholar]), to the study of peer interactions in sport. Concrete recommendations to guide the practical application of the SSG method to future peer research in youth sport are presented.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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