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Record W4410920222 · doi:10.1111/joac.70019

Challenging Agroecology—Promise and Pitfalls for Agrarian Studies

2025· article· en· W4410920222 on OpenAlexaff
Ben M. McKay, Georgina Catacora‐Vargas, A. Castellanos-Navarrete, Rachel Bezner Kerr, Jessie K. Luna

Bibliographic record

VenueJournal of Agrarian Change · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgriculture, Land Use, Rural Development
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsAgroecologyAgrarian societyPolitical scienceEnvironmental ethicsSociologyGeographyAgriculturePhilosophy

Abstract

fetched live from OpenAlex

ABSTRACT Within agrarian studies, promoting agroecology is widely held as a key objective to animate progressive change with social and environmental benefits across rural regions. Yet, in practice, many questions remain salient concerning the political economy and social dynamics of agroecological transitions. On the one hand, different visions of agroecology exist in terms of both agricultural practices and their surrounding social relations. While a plurality of visions within the field is often celebrated, this conceptual flexibility can make analysis of what works, why, where, and for whom more challenging. On the other hand, agroecological transitions often present daunting challenges for resource poor farmers: a time lag for agroecological methods to become effective; a switch of markets and associated relationships; and new demands for farm and labour management in conditions of uncertain knowledge and constrained resources. These questions push the field of agrarian studies to move beyond simplified normative presentations of agroecology and grapple with the messy political economy of transitions. What are the social, political, and technical preconditions of success? How do agroecological transitions play out in communities and regions that often have internal divisions and conflicting interests? What are the respective roles—if any—of the state, social movements, or non‐governmental agencies in such processes? And, given the partial adoption of agroecology within various governmental realms, is there a risk of a bifurcation of agriculture wherein there is intensive industrial farming for an agrarian elite and agroecology prescribed for a neo‐subsistence rural poor? To address these themes, the Journal of Agrarian Change asked a series of authors to consider two interlinked questions. First, how does agrarian studies as a field of analysis challenge agroecology by contextualizing agroecological initiatives within the complex dynamics of agrarian change? Second, how do the normative goals and practical experiences of agroecology challenge agrarian studies to widen, adapt or reinvent its empirical foci and analytical tools?

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)0.063
metaresearch head score (Gemma)0.041
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.063
Threshold uncertainty score0.336

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0630.041
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0050.005
Science and technology studies0.0080.058
Scholarly communication0.0170.029
Open science0.0050.015
Research integrity0.0110.016
Insufficient payload (model declined to judge)0.0090.002

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 head0.080
GPT teacher head0.296
Teacher spread0.216 · 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 designTheoretical or conceptual
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

Citations6
Published2025
Admission routes1
Has abstractyes

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