MétaCan
Menu
Back to cohort
Record W2966049589 · doi:10.19088/1968-2019.120

Agroecology and Food Sovereignty

2019· article· en· W2966049589 on OpenAlexaff
Steve Gliessman, Harriet Friedmann, Philip H. Howard

Bibliographic record

VenueIDS Bulletin · 2019
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgriculture, Land Use, Rural Development
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsFood sovereigntyAgroecologyFood systemsSustainable agriculturePoliticsPolitical scienceSovereigntyPolitical ecologyFood securityAgricultureGeographyLaw

Abstract

fetched live from OpenAlex

We propose that agroecology provides a framework for understanding ‘levels’ for the transition to sustainable food systems. If we agree that agroecology includes social and political dimensions of governing territorial food systems, then it must be linked to movements for food sovereignty. However, the concentration of power in food and farmingsystems locks in industrial logic, posing immense barriers to agroecological and social transition. This creates a tension between efforts at convergence of food system innovations from below, versus co-optation of grass-roots language and practices by private and public actors who are committed not to changing the logic of industrial agriculture, but instead to reducing its harm. We suggest agroecological and food sovereignty movements consciously embrace this tension as a dance of creativity and appropriation. If this dance can be made generative rather than deadly, it can open pathways for transition to new ways of seeing, experiencing, and getting food.

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)0.003
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.007
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.031
Scholarly communication0.0060.006
Open science0.0010.007
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0070.000

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 head0.006
GPT teacher head0.161
Teacher spread0.155 · 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 designNot applicable
Domainnot available
GenreCommentary

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

Citations60
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueIDS BulletinSame topicAgriculture, Land Use, Rural DevelopmentFrench-language works237,207