MétaCan
Menu
Back to cohort
Record W2966659935 · doi:10.5304/jafscd.2019.091.036

Hidden Harvest's Transformative Potential: An Example of 'Community Economy'

2019· article· en· W2966659935 on OpenAlexafffundabout
Patricia Ballamingie, Chloé Poitevin-DesRivières, Irena Knežević

Bibliographic record

VenueJournal of Agriculture Food Systems and Community Development · 2019
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicUrban Agriculture and Sustainability
Canadian institutionsCarleton University
FundersSocial Sciences and Humanities Research Council of CanadaWilfrid Laurier University
KeywordsTransformative learningPolitical scienceSociology

Abstract

fetched live from OpenAlex

Drawing on an in-depth case study of Hidden Harvest Ottawa—a for-profit social enterprise that aims to legitimize and support the practice of harvesting fruits and nuts in urban areas—this article explores the transformative potential (both realized and unrealized) of place-based urban foraging. It briefly delineates the organizational model employed, including its innovative practices and strategic 5-year vision. It then explores Hidden Harvest’s transformative potential realized: notably, it reconceptualizes surplus (and thus profit); makes visible a nonmonetary social return on investment (SROI, defined as substantive contributions to building community, adaptive capacity, prosperity, social capital, and community-based food security); normalizes access to public space for food provi­sioning; and, finally, frames Hidden Harvest as an illustrative example of Gibson-Graham’s (2006) notions of community/alternative/ethical econ­omy, an initiative that destabilizes dominant eco­nomic assumptions while fostering meaningful interconnection. Throughout this article, we argue that only through collective resignification of our economy can initiatives such as Hidden Harvest adequately receive the support warranted by its impact and outcomes to fully realize its potential and achieve long-term viability. See the press release for this article. 

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.

How this classification was reachedexpand

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)0.002
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.649
Threshold uncertainty score0.484

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.030
GPT teacher head0.205
Teacher spread0.176 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations7
Published2019
Admission routes3
Has abstractyes

Explore more

Same venueJournal of Agriculture Food Systems and Community DevelopmentSame topicUrban Agriculture and SustainabilityFrench-language works237,207