IDENTIFIERS Ontario; Teacher Researcher Relationship
Bibliographic record
Abstract
School-based outdoor and experiential programs face an increasing demand from outside interests for research-based accountability. This paper suggests that both research and practice are strengthened by researcher-practitioner partnerships and by practitioners conducting their own research. Three modest qualitative research designs are explored as viable tools for practitioner research. In the first study, concept mapping was used to examine students ' experiences in the conventional school setting and in the Community Environmental Leadership Programme (CELP), an integrated outdoor experiential program in a Guelph (Ontario, Canada) high school. Students constructed concept maps of their perspectives on schooling before and after CELP. Concept maps are unique in providing researchers with complex information for program assessment while remaining a student-controlled activity. This tool's effectiveness may lie in the fact that concept maps allow students to reflect on their experiences with the personal language
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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 | 0.009 | 0.033 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.004 | 0.011 |
| Science and technology studies | 0.027 | 0.007 |
| Scholarly communication | 0.012 | 0.003 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.191 | 0.022 |
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".