Reflecting on Participatory Research in Environmental Education: Some Issues for Methodology
Bibliographic record
Abstract
We reflect on methodological issues arising in two of our own research projects as a form of practice, as a way of engaging in a praxis of project research. The projects chosen for this purpose are themselves concerned with teacher education and curriculum development in environmental education: they include participatory “reflective practice” processes in exploring issues relating to formal education in schools and informal education in communities and are grounded in the specific contexts of developing countries. We discuss issues in participatory research such as: • Whose research agenda gets to be explored? • The importance of project partnerships • Participants’ preconceptions about the nature of research • What is “rigor” in participatory research in environmental education? • The Colonialist Dilemma: Avoiding the “package or perish” mentality • The Bigger Picture: Technocratic Rationality and Participatory Research.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.578 | 0.485 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.005 | 0.011 |
| Science and technology studies | 0.023 | 0.118 |
| Scholarly communication | 0.038 | 0.043 |
| Open science | 0.012 | 0.026 |
| Research integrity | 0.017 | 0.029 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".