Illustrating integrated sustainability and resilience based assessments: a small-scale biodiesel project in Barbados
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
Assessments today need to help reverse trends towards deeper unsustainability and address the unavoidable interconnections, feedbacks and uncertainties that typify complex socio-ecological systems at all scales. To illustrate one promising approach, this paper describes a modest effort to integrate understandings from Gibson et al's approach to sustainability assessment with the Resilience Alliance's applications of complex systems thinking into a suite of systems and sustainability based criteria. The integrated sustainability-resilience criteria were used to assess an existing small-scale biodiesel operation on Barbados that involves waste management, public health, transportation, energy security and community involvement considerations. The assessment revealed that the main benefit of this biodiesel project is in social learning rather than enhancing energy security and waste management, and the best ways of enhancing the project lie in larger scale policy initiatives. The findings suggest that the use of a sustainability-resilience approach can contribute insights unlikely to emerge from more narrowly focused assessments.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| 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