A retrospective study of playscapes in the city
Bibliographic record
Abstract
Reduced involvement in active free play is a major factor underlying low physical activity levels among Canadian children. Adopting a retrospective approach, the purpose of this study was to examine places, memories, and experiences young adults associated with the 'playscapes' where as children they engaged in active free play. Participants were 13 young adults (4 male, 9 female; aged 18 – 21 yrs) who had resided in one large western Canadian city for 10 years or more. They took part in one semi-structured interview (SSI) and one walk-along interview (WAI). During the SSI they were asked about their memories and experiences of play and during the WAI they returned to their childhood play areas and while they walked through the playscapes they were further questioned about their memories of play. Data were transcribed verbatim and each individual's SSI and WAI were subjected to content analysis before establishing common themes across the participants. Results showed that while participants associated numerous social and developmental benefits with play, they also recalled several barriers and safety concerns. Perceived changes in play related to changes to play environments, parent/adult supervision, and accessibility. Hence, whereas some factors appeared to have changed, findings showed familiar contemporary issues (e.g., barriers, safety) also appeared to be concerns in the past. By using a retrospective approach this study helped reveal some factors that have changed and some factors that have remained the same in terms of play over the past decade.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.006 | 0.003 |
| 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".