Viability For Sustainability: Two Sides of the Coin for Global Education in Faculties of Education
Bibliographic record
Abstract
This article outlines a Global education initiative run by a group of professors, graduate students and pre-service teacher education candidates in a Faculty of Education at a Canadian university. The goal of this far-ranging program is to encourage teacher candidates to incorporate curricula on sustainable development, peace and global citizenship education into the conventional curriculum. The authors of the article have been involved with this initiative since its inception ten years ago. They have adopted Kotter's Strategic Model for Transforming Organisations (1995) as the basis of our investigation into effective organisational change in this project. In particular, the article considers the importance of leadership styles, infrastructural supports and consistent evaluation in their research. Ultimately, the authors probe ways to sustain educational change and innovation over a lengthy period during times of expansion and a leadership restructuring.
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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 | 0.014 | 0.022 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.009 | 0.079 |
| Scholarly communication | 0.025 | 0.033 |
| Open science | 0.002 | 0.022 |
| Research integrity | 0.013 | 0.016 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".