MétaCan
Menu
Back to cohort
Record W4417494055 · doi:10.1515/gsgs-2025-0005

Framing Situated Knowledge: A Knowledge Framework for Gender and Sustainability in the Global South

2025· article· en· W4417494055 on OpenAlexaff
Meng Liu, Tuula Heinonen

Bibliographic record

VenueGender and sustainability in the Global South · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgriculture, Land Use, Rural Development
Canadian institutionsUniversity of WinnipegUniversity of Manitoba
Fundersnot available
KeywordsGrassrootsSituatedReflexivityFraming (construction)Participatory action researchPraxisTransformative learningScholarshipSustainabilityIntersectionality

Abstract

fetched live from OpenAlex

Abstract This paper advances a five-pillar framework for rethinking gender and sustainability scholarship in the Global South. Confronting climate crises, entrenched gender inequities, and epistemic hierarchies shaped by colonial legacies, it argues for a transformative agenda grounded in decolonial, feminist, and participatory epistemologies. The five pillars – (1) Situated Knowledge & Epistemic Justice, (2) Structural Intersectionality & Decolonial Feminism, (3) Relationality & Care Ethics, (4) Ecosocial Resistance & Grassroots Praxis, and (5) Methodological Pluralism & Ethical Co-Production – emerge from cross-disciplinary feminist and decolonial research as recurrent sites where theory and practice intersect.Case studies of energy-access brokerage, gender-transformative climate governance, and women’s agroecology networks illustrate how plural epistemologies and grassroots praxis generate counter-hegemonic models of sustainability. Methodological commitments – such as participatory action research, photovoice, multilingual dissemination, and reflexive ethics – translate these principles into practice while acknowledging challenges of resource intensity, institutional inertia, and risks of tokenism.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.284
Threshold uncertainty score0.592

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.021
GPT teacher head0.291
Teacher spread0.270 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations1
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueGender and sustainability in the Global SouthSame topicAgriculture, Land Use, Rural DevelopmentFrench-language works237,207