Lived experiences and emergent practices : eight conversations with Metro Vancouver urban environmental educators
Bibliographic record
Abstract
Urban environmental education (UEE) as a sub-genre of environmental education is still a relatively novel field of study, but an especially relevant one in Canada given its population’s concentration in urban centres. Rather than perpetuating the trope of urban centres as environmentally deficient, UEE presents an opportunity to empower urban residents toward learning and acting sustainably in vibrant and interconnected urban social-ecological systems and landscapes. Participant interviews were conducted with eight Metro Vancouver UEE practitioners and analyzed using a hermeneutic phenomenology approach to elucidate their experiences and propose how they may inform emergent practice. As major Canadian cities increasingly infuse their strategic plans and land-use decisions with environmental targets, further study of UEE in Metro Vancouver would enhance the planning and programming capacity of policy-makers, not-for-profits, educators, all levels of government, and all other interested stakeholders.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.138 | 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".