Social Ecology and Environmental Diversity in Teacher Education
Bibliographic record
Abstract
Abstract This paper offers reflections on the development and potential of a transformative teacher education project as one component of the Professional Development Programs (PDPs) at the Faculty of Education of a comprehensive Canadian university. The work of our teacher education program is set in Vancouver and utilizes the lenses of social ecology and environmental diversity (or SEEDs) to examine the roles of teachers in bringing an awareness of local/global sustainability issues to student learning experiences. Using auto-ethnographical methods our project reflects on a critical and place-based teacher education agenda highlighting democratic and participatory methods in its approach. We use our experiences combined with relevant literature to explore what inspirations might be drawn from our evolving approach. Drawing from Bookchin’s social ecology, our teacher education practices are based on the conviction that most of our present ecological problems originate with/in deep-seated social problems. It follows, from this view, that ecological problems cannot be understood, let alone solved, without a more careful understanding of our existing society and the irrationalities that often dominate it. In our most recent work, our teacher education candidates identified strongly with the related theoretical notions of Social Ecology and Diversity; hence, our identity (as seeds or seedlings) is in a state of flux as we continue to move and adapt to our current socio-political conditions.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".