Teaching environment and sustainability: Experiences of a Vietnamese educator living in Canada
Bibliographic record
Abstract
This research aims to address the question of whether Environment and Sustainability Education (ESE) is sustainable or not, considering the author's experiences as a lecturer in environmental sustainability programs in Vietnam and as a researcher/educator in a teacher education program in Canada. This study employs an autobiographical narrative approach rooted in experience. This study delves into the three-dimensional narrative spaces of temporality, sociality, and place to understand personal experiences and envision future narratives for international environmental sustainability education. Through this research, it is found that integrating teaching and training programs, familial curriculum making, and the sustainability of multi-species flourishing are holistic and long-term approaches to teaching environmental sustainability. The findings of this research highlight the importance of engaging various stakeholders in a wide-ranging collaborative process to discuss, debate, and analyze past and current pedagogical practices, as well as structural, programmatic, and economic challenges faced in environmental and sustainability education. Additionally, this research emphasizes the need to broaden perspectives by including the voices of Vietnamese educators teaching and conducting research in Canadian education.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.041 | 0.010 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 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".