Action research and reducing the vulnerability of peri‐urban agriculture: a case study from the <scp>M</scp>ontreal 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
Abstract Important pressures still increase the vulnerability of peri‐urban farming despite initiatives to protect agricultural land and activities since the mid‐1960s in several jurisdictions in the USA and C anada. Often, farmland is still removed from agricultural reserves for the ‘good of society’ (for example, creating industrial parks). In 2008, an action research project was initiated to attempt to reduce agricultural vulnerability in several peri‐urban and rural areas near M ontreal by emphasising the importance of the appropriation of the value of these farmlands by non‐farm citizens and actors. The action research roles involved accompanying the farmers, facilitating meetings, mobilising non‐farm actors, and informing farmers of possibilities when asked to do so. In this article, one specific project is analysed in S enneville (in the west of M ontreal I sland). While the project was initiated by the farmers to guarantee their long‐term future, they also sought to involve other, mostly non‐agricultural, actors. In a colloquium, a collective vision for the project was constructed, integrating other functions of farmland such as conservation and leisure activities. Many meetings were organised over a three‐year period and formal presentations were made to the municipality. The project is ongoing, including new farm operations and the reinforcement of local markets for marketing mainly organic produce. The area is now an integral part of an emerging ‘green belt’ of the M ontreal agglomeration and is already part of a ‘green coalition’ of both urban and peri‐urban actors (farmers and non‐farmers), and an emerging food system movement which represents a more holistic approach to food production.
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 | 0.010 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| 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