Between state–community partnerships and austerity: The everyday networked governance of Montreal’s solidarity greenhouses
Bibliographic record
Abstract
Greenhouses are becoming a regular feature of the urban landscape, their popularity driven in part by an eco-futurist, techno-optimist vision of “vertical farming” that articulates with entrepreneurial green urbanism. In Montreal (Quebec, Canada), however, urban greenhouses tend to be small-scale, low-tech infrastructures operated by networks of state, non-profit, and community actors, with an equity-oriented mission of working in solidarity with–and providing material support for–marginalized populations. In this article, we characterize the everyday governance of these “solidarity greenhouses” ( serres solidaires ) and examine the conditions that mediate their emergence and success within twin contexts of austerity and entrepreneurial urbanism. Examining three key challenge areas–project definition, municipal regulations, and funding–and how project leaders navigate them, we reveal how everyday governance is a function of relational and differential power between partners and the ability to navigate a shifting funding landscape. Governance is further deeply influenced by Quebec’s unique “community action” model and the ongoing dismantling of a once-robust welfare state.
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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 | 0.001 | 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".