Vivo Play Project: How to Let Loose as a Play Ambassador
Bibliographic record
Abstract
Play Ambassador training material created by Vivo for Healthier Generations (https://www.vivo.ca/) as part of the Vivo Play Project. The Vivo Play Project involved the delivery of loose parts play for children in Calgary (Alberta, Canada) communities (https://www.vivoplayproject.com/). The Play Ambassador training material is intended to be a supplement in support of published works on the evaluation of the Vivo Play Project: 1. McCormack GR, Naish C, Petersen J, Doyle-Baker PK (in press). Loose parts and risky play: Play ambassador perspectives on facilitating a community-based intervention in local parks during the COVID-19 pandemic. Journal of Adventure Education and Outdoor Learning. 2. 4. Naish C, McCormack GR, Blackstaffe A, Frehlich L, Doyle-Baker PK. (2023). An observational study on play and physical activity associated with a recreational facility-led park-based “loose parts” play intervention. Children, 10(6):1049
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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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.144 | 0.047 |
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".