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Ecology, Community and Food <i>Sovereignty</i> : What's in a Word?

2018· article· en· W2900286848 on OpenAlexaff
Jade Monaghan, Mick Smith

Bibliographic record

VenueEnvironmental Values · 2018
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgriculture, Land Use, Rural Development
Canadian institutionsQueen's University
Fundersnot available
KeywordsFood sovereigntySovereigntyGrassrootsDominance (genetics)PoliticsEnvironmental ethicsColonialismPolitical ecologyPolitical economyPolitical scienceCONTESTSociologyEcologyFood securityAgricultureLawBiology

Abstract

fetched live from OpenAlex

‘Food sovereignty’ plays an increasingly important political role as a focus for grassroots agri-food organisations, such as La Via Campesina, in their attempts to contest the social injustices, health impacts and ecological damage resulting from the increasing global dominance of corporate/industrial agriculture. While not seeking to detract from the successes of such movements, there remain ethical, political and ecological concerns about just how the ‘sovereignty’ in food sovereignty is to be interpreted and what, if any, its relation to previous histories, definitions and applications of political sovereignty might be. Sovereignty's role, for example, in settler colonialism and environmental destruction is rarely addressed in the food sovereignty literature, with advocates focusing instead on its definitional malleability and contemporary political utility. Yet critical appropriations of Schmitt's infamous definition of sovereignty help to specify its colonial, anti-political and anti-ecological modus operandi, and make clear certain dangers inherent in uncritically adopting the term.

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)0.002
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0050.045
Scholarly communication0.0100.011
Open science0.0010.005
Research integrity0.0030.004
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 head0.015
GPT teacher head0.189
Teacher spread0.173 · 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

Citations2
Published2018
Admission routes1
Has abstractyes

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