Learning to live and work together in an ecovillage community of practice
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
Ecovillages are citizen-organised residential communities that strive for a more sustainable way of life based on a culture of cooperation and sharing, as deemed necessary to support a shift to a post carbon world (Dawson, 2006; Lockyer & Veteto, 2013; Korten, 2006). While much can potentially be learned from the study of these experimental sustainable communities, perhaps their greatest contribution is to help us understand how to transition from individualism and competition in order to live ‘smaller, slower and closer (Litfin, 2014)’. Drawing on a social theory of practice (Wenger, 1998) and concept of communities of practice (Lave & Wenger, 1991; Wenger, 1998), this paper considers how one ecovillage is learning the social competencies necessary to live and work well "in community", and in doing so, it coconstructs and sustains a cooperative culture.
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 | 0.019 | 0.034 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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