Outdoor Play and Learning in Elementary Schools: A Critical Participatory Action Research Project
Bibliographic record
Abstract
In this study, we enacted critical participatory action research (CPAR) within an online community of practice (CoP). The CoP was designed to build a community of outdoor play and learning (OPAL) practitioners. This paper describes how a cohort (n=18) of experienced Kindergarten to grade eight (K-8) teachers from across British Columbia shared their OPAL experiences and practice and the collective action taken. Regularly scheduled meetings over a six-month period resulted in dialogue that identified the need for quality resources that were accessible for all teachers. The concept of a website, developed for teachers by teachers experienced with OPAL, was initiated within the CPAR process. This article describes findings related to participation in a CPAR CoP, and the process of deciding upon and enacting shared action to support OPAL elementary school teachers.
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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 | 0.061 | 0.037 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.022 | 0.029 |
| Scholarly communication | 0.010 | 0.004 |
| Open science | 0.003 | 0.011 |
| Research integrity | 0.002 | 0.004 |
| 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".