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Record W4284973244 · doi:10.1002/cl2.1265

PROTOCOL: Gender transformative approaches in agriculture for women's empowerment: A systematic review

2022· review· en· W4284973244 on OpenAlex
Sabina Singh, Ashima Mohan, Ashrita Saran, Ranjitha Puskur, Avni Mishra, Linda Etale, Steven M. Cole, Edoardo Masset, Hugh Waddington, H. Robson MacDonald, Howard White

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueCampbell Systematic Reviews · 2022
Typereview
Languageen
FieldEconomics, Econometrics and Finance
TopicMicrofinance and Financial Inclusion
Canadian institutionsCarleton University
FundersInternational Fund for Agricultural DevelopmentForeign, Commonwealth and Development OfficeConsortium of International Agricultural Research CentersBill and Melinda Gates FoundationInternational Livestock Research InstituteUnited States Agency for International DevelopmentInternational Development Research CentreInternational Fine Particle Research Institute
KeywordsTransformative learningEmpowermentPsychological interventionWomen's empowermentProtocol (science)Systematic reviewAgriculturePsychologyEconomic growthPolitical scienceEconomicsMedicineMEDLINEAlternative medicineDevelopmental psychologyGeography

Abstract

fetched live from OpenAlex

This is the protocol for a Campbell systematic review. The objective of this systematic review is to assess the effectiveness of interventions with gender transformative approach (GTA) components in improving women's empowerment in low- and middle-income countries, and to curate evidence on the mechanisms through which GTA works to improve women's empowerment in agriculture.

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)0.014
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Meta-epidemiology (broad), Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.521
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0140.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0210.003
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.266
GPT teacher head0.335
Teacher spread0.069 · 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