Partnering for Outdoor Play: A Case Study of Forest and Nature School Programming in the Context of Licensed Child Care in Ottawa, Ontario.
Bibliographic record
Abstract
This case study examines the policy significance of a partnership between two organizations committed to improving children’s learning and wellbeing through the delivery of a forest and nature school (FNS) program offered in the context of a licensed childcare program in the province of Ontario, Canada. The notion of the anthropocene is taken as a theory and practice framework which emphasizes the urgency for developing new educational strategies that respond to the current moment of ecological crisis facing human and more-than-human planetary communities on earth. Methodologically, the case study is taken up through the lens of action research, wherein the leaders of the two partnering organization participated as co-investigators of the project. Findings of the study suggest that best-practice policy in early-years forest and nature school programs broadly include, among others, the following: understanding a continuum of FNS pedagogies, working to influence regulatory disconnections between built and natural play environments, and advancing social and ecological justice values through FNS programs.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.034 | 0.009 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".