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Record W4390726059 · doi:10.1177/10780874231224359

Creating Local “Citizen's Governance Spaces” in Austerity Contexts : Food Recuperation and Urban Gardening in Montréal (Canada) as Ways to Pragmatically Invent Alternatives

2024· article· en· W4390726059 on OpenAlex
Laurence Bhérer, Pascale Dufour, Françoise Montambeault

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueUrban Affairs Review · 2024
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicUrban Agriculture and Sustainability
Canadian institutionsUniversité de Montréal
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsAusterityPublic administrationCorporate governancePolitical scienceBusinessPoliticsLawFinance

Abstract

fetched live from OpenAlex

While there is a growing interest in citizen-led initiatives, there is still no consensus on how to situate them, especially in relation to state institutions. On the one hand, citizen-led initiatives are seen as being co-opted by formal institutions in a context of austerity. On the other hand, these initiatives are often presented as "spaces of resistance" to neoliberalism, or as political acts of reclaiming the city. Mapping and tracing urban gardening and dumpster diving from their grassroots emergence to their inclusion in the institutional world through a two-level analysis, we show that individuals and loosely organized collectives involved in such initiatives are embedded in complex relationships with local institutions and third sector organizations that do, in turn, structure their practice and its consequences. The two-level analysis we propose follows this process: it is through interactions and relationships with other "practitioners" and with their social and institutional environment that these urban social practices gradually institutionalize.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.635
Threshold uncertainty score0.970

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.009
GPT teacher head0.210
Teacher spread0.201 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it