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Record W4285145824 · doi:10.1525/elementa.2021.00100

Land governance for agroecology

2022· article· en· W4285145824 on OpenAlexaffabout
Hannah Wittman, Dana James

Bibliographic record

VenueElementa Science of the Anthropocene · 2022
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgriculture, Land Use, Rural Development
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsAgroecologyLand grabbingCorporate governanceLivelihoodFood securityCommonsPolitical ecologyLand useEquity (law)Political scienceEnvironmental planningEnvironmental resource managementGeographyPoliticsBusinessEconomicsAgricultureEcology

Abstract

fetched live from OpenAlex

Agroecological transitions aim to redesign the structure of contemporary global food systems to improve food security, ecosystem health, community development, worker livelihoods, and social and ecological justice. A fundamental principle of agroecology is the responsible governance of land. Yet land—as a concept, resource, and territory—is heavily contested through processes of colonization, enclosure, commodification, and financialization. The governance of land and natural resources is also intimately tied to questions of power and privilege—Who governs land? Who benefits, and who is excluded? These questions presuppose an ontological understanding of land that can also be contested: What is land, what purpose(s) does it serve, and for whom? In this article, we review key concepts at the intersection of land governance and agroecology. We take a case study approach to highlight how tensions around ontologies of land mediate agroecological futures in 2 settler-colonial contexts: Brazil and Canada. We then explore how land governance for agroecology might be experienced and understood across different land governance institutions—including relational and community commons, private property regimes, and new forms of hybrid land relations that challenge land privatization. We discuss how these land regimes influence people, landscapes, and agroecological outcomes and conclude with a consideration of the access, equity, and justice implications of different land governance approaches for sustainable food systems.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.426
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.012
GPT teacher head0.234
Teacher spread0.222 · 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.

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

Citations23
Published2022
Admission routes2
Has abstractyes

Explore more

Same venueElementa Science of the AnthropoceneSame topicAgriculture, Land Use, Rural DevelopmentFrench-language works237,207