Defining cultural-ecological resilience through community and sovereign food systems
Bibliographic record
Abstract
Resilience within social and ecological contexts has consistently been defined by the external forces acting on a system. This definition is narrow and insufficient to describe the forces of systemic racism, injustice, and inequitable power dynamics that are often at play in a settler state. This paper seeks to expand upon previous frameworks of resilience that have come out of social-ecological systems thinking to address three things: (1) provide a framework for resilience based on communities’ agency rather than passive acceptance of external disturbances, (2) address questions of power and injustice within a settler colonial system, and (3) integrate societal and ecological resilience through the understanding that resilience of cultural systems is built upon the maintenance of relationships, defined broadly to include social and environmental relationships that have been upheld by Indigenous Peoples since time immemorial. A framework for cultural-ecological resilience will be defined and explored in this paper and applied to sovereign food systems.
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How this classification was reachedexpand
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 | 0.000 | 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 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".