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Record W2763502379 · doi:10.1177/1478929917720429

Situating Earth Democracy: Vandana Shiva on Agroecology, Contemporary Politics and Resilience

2017· article· en· W2763502379 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePolitical Studies Review · 2017
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgriculture, Land Use, Rural Development
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsDialogical selfPoliticsSustainabilityDemocracyEnvironmental ethicsSociologyEconomic JusticePsychological resilienceDeliberative democracyPolitical scienceLawSocial psychologyPsychologyEcologyPhilosophy

Abstract

fetched live from OpenAlex

This article focuses on three works authored by Vandana Shiva and recently published by Zed Books. It employs these books as dialogical aids to map her thought in its political and ethical dimensions as they relate to peace, sustainability, and social justice. More specifically, after a brief introduction and a biographical discussion, this article situates her vision of Earth Democracy as a means to tie together Shiva’s inter-related reflections in the areas of agroecology, contemporary politics, and resilience. Comment is then offered concerning the tension and promises of Shiva’s treatment of these issues. The reader of this article is left with several points of entry to understand Shiva’s contributions to discourses on sustainable agriculture, nonviolent political change, and resilient sustainability. Shiva V (2016a) Earth Democracy: Justice, Sustainability and Peace. London: Zed Books. Shiva V (2016b) Soil, Not Oil: Climate Change, Peak Oil. London: Zed Books. Shiva V (2016c) Who Really Feeds the World? London: Zed Books.

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.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.762
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.082
GPT teacher head0.327
Teacher spread0.244 · 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