Restoring social and ecological relationships in the agroecosystems of Canada's prairie region
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
Ecosystem restoration is proposed as one aspect of the transformative changes required to meet global sustainability goals. In the prairie region of Canada, where the widespread and relatively recent conversion of natural ecosystems to farmland displaced Indigenous peoples and made way for a thriving agricultural sector, I propose that ecosystem restoration requires two intertwined transition processes: reorienting worldviews to embrace the social and biophysical contexts of local ecosystems, and taking practical steps to restore ecosystem functioning and integrity. Attention to ecosystem functioning—the relational processes that undergird the desired outcomes—can promote the design and implementation of agricultural landscapes that mimic key features of natural ecosystems while maintaining a mix of land uses. Human ingenuity and thoughtful integration of traditional and scientific knowledge are needed to develop locally adapted land use that supports synergetic relationships within and among farm fields and other landscape features. Integrating social goals into the design of agricultural landscapes can spawn creative solutions but will require a shift toward a more open and collaborative approach, especially regarding the use of privately owned lands.
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 | 0.000 | 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 | 0.000 | 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