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Record W7132877841

All that SustainsUs: A Study of the Values, iIvestments and Returns of Flemo Farm

2023· dissertation· W7132877841 on OpenAlexaboutno aff
Libby Edwards

Bibliographic record

VenueTSpace · 2023
Typedissertation
Language
FieldAgricultural and Biological Sciences
TopicUrban Agriculture and Sustainability
Canadian institutionsnot available
Fundersnot available
KeywordsMeaning (existential)Transformative learningAgricultureInvestment (military)Environmental sociology
DOInot available

Abstract

fetched live from OpenAlex

Urban agriculture (UA) initiatives have proliferated in the Global North over the last couple of decades in response to the many social, economic, and environmental problems caused by the dominant industrial agri-food system. Despite the ‘good intentions’ of these spaces, their meaning and impact are contested; scholars and activists of UA are caught between emphasizing its radical, transformative potential on the one hand, and highlighting its status as co-opted by an all-consuming capitalist system on the other. My research contributes to this conversation through an in-depth study of the values, investments and returns of one of these urban agriculture projects: a small, half-acre urban farm in Northwest Toronto called Flemo Farm. I use the Community Economies Return on Investment (CEROI) framework to guide the investigation, and McClintock’s three-dimensional theory of metabolic rift to analyse the results. Ultimately, I find that blending McClintock’s theory of metabolic rift with the CEROI approach unlocks an understanding of the meaning and impact of the activities of Flemo Farm that would otherwise be missed.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.174
Threshold uncertainty score0.347

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.007
Scholarly communication0.0030.003
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.036
GPT teacher head0.308
Teacher spread0.272 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations0
Published2023
Admission routes1
Has abstractyes

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