Assessing the environmental practices and impacts of intentional communities: an ecological footprint comparison of an ecovillage and cohousing community in southwestern British Columbia
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
The ecological footprint of the average Canadian is three times greater than the global per capita biocapacity of the planet. The purpose of this research is to gain insights from intentional communities on how to reduce household ecological footprints in Canada. Intentional community is an inclusive term for a variety of community types, including ecovillages and cohousing, where residents have come together to achieve a common purpose. Studies show that intentional communities have per capita ecological footprints that are less than those of conventional communities. I corroborate these findings through my own ecological footprint analyses of Quayside Village and OUR Ecovillage, in southwestern British Columbia. These communities have per capita ecological footprints that are smaller than some conventional averages. Overall, Quayside Village and OUR Ecovillage also have comparatively similar per capita ecological footprints, suggesting that residents of both urban and rural intentional communities may demonstrate similar environmental behaviours. Intentional community living is currently confined to small‐scale grassroots initiatives so even the aggregate environmental benefits are insignificant. Municipalities and land developers can help to advance the pro‐environmental practices of intentional communities by increasing incentives for this community model and adapting intentional community practices to a conventional context.
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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 | 0.002 | 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 | 0.001 | 0.003 |
| Scholarly communication | 0.001 | 0.001 |
| 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