Youth Sports Participation Styles and Market Segmentation Profiles: Evidence and Applications
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 Leisure-time sports participation styles and market segments of elementary and high schoolboys and girls are studied (N = 5,172) based on product usage. Demographic, socio-economic, and psychographic characteristics of the different components of sports participation behaviour, i.e., intensity, diversity, organisational context, and sports preferences are analysed using logistic regression modelling. Components analysis distinguishes five youth sports participation styles: traditionally organised, family-oriented, aesthetic, exclusive glide and popular action. Results of the non-linear canonical correlation, presented in a perceptual map, identify different market segments based on the association of a multitude of sports behavioural, demographic, socio-economic and psychographic characteristics. It visualises the positioning of the different sports participation styles relative to their competitor styles based on their level of cultural and sports capital. The marketing implications for the different participation styles and sport segments are discussed.
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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 | 0.001 | 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 | 0.001 |
| Open science | 0.000 | 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