Children’s competitive microcultures: an examination of the social organization of rules and roles in gender inclusive and performance-based outdoor play
Bibliographic record
Abstract
Children’s microcultures consist of small peer communities that they develop with distinct rules and roles operating outside of traditional daily activities. Presently, there is little understanding for how children may develop microcultures during competitive play, where they attempt to outperform their peers. In this study, we address the question, ‘How may competitive outdoor play shape children’s development of microcultures?’ We conducted unstructured interviews with 9- to 13-year-old children (7 girls, 6 boys) and engaged in naturalistic observations of their play in Vancouver, Canada, throughout a two-week period. Findings from our thematic analysis suggest children develop gender-inclusive microcultures during their competitive play and children are evaluated by one another on their physical and cognitive competencies. Importantly, these findings suggest microcultures can afford children with opportunities to participate in thrilling play that may otherwise be restricted by adults. Further, they suggest competition may serve as a catalyst for disrupting gender segregated play.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| 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 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".