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Record W2001050574 · doi:10.1002/sd.393

Greening Garhwal through stakeholder engagement: the role of ecofeminism, community and the state in sustainable development

2009· article· en· W2001050574 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

VenueSustainable Development · 2009
Typearticle
Languageen
FieldEnvironmental Science
TopicConservation, Biodiversity, and Resource Management
Canadian institutionsCarleton University
Fundersnot available
KeywordsEcofeminismSustainable developmentEnvironmental ethicsState (computer science)CollusionStakeholderSubject (documents)SociologyWork (physics)Political scienceBusinessPublic relationsEngineeringLaw

Abstract

fetched live from OpenAlex

Abstract This paper highlights the critical role played by ecofeminism and stakeholder engagement in the region to depict a symbiotic relationship between women and forests that is critical in sustaining human and non‐human life in the Garhwal Himalayan region of India. While it uses ecofeminism to demonstrate the positive role of community in sustainable forestry and development, the chief aim of the paper is to highlight the need to go beyond the ‘civil society’ versus ‘state’ debate that has become rather popular in the development studies discourse. Instead, the paper posits the need for the two to work in active collusion, not only to be successful but also because it is what the subject/agent needs and demands. This paper is the result of field research by the author in the summer of 2004 in the Garhwal Himalayan region of India. Copyright © 2009 John Wiley & Sons, Ltd and ERP Environment.

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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.399
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.019
GPT teacher head0.204
Teacher spread0.185 · 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