Educating for Sustainability in Remote Locations
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
At a time when social, economic and political decisions, along with environmental events, challenge the viability of remote communities, educators need to better prepare young people in these communities to work towards sustainability. Remote locations can be defined by their inaccessibility rather than just distance from the nearest services, while the sustainability construct encapsulates a range of community needs: environmental, social, cultural and economic. This paper describes experiences that involve innovative approaches towards educating for sustainability in remote locations in six diverse countries: South Africa, Scotland, Canada, United States of America, Pacific Island Nations, and Australia. For each, the nature of what constitutes a “remote” location, as well as the detail and challenges of the innovation are presented. Readers should consider how they might more suitably educate the next generation to protect, showcase and learn from/with the local knowledges and capacities of the people and environments in remote locations.
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.
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 | 0.001 | 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 | 0.000 | 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 it