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Record W4381511411 · doi:10.1080/09614524.2023.2220989

Achieving gender equality through challenging social norms: BRAC’s Polli Shomaj program

2023· article· en· W4381511411 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

VenueDevelopment in Practice · 2023
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicMicrofinance and Financial Inclusion
Canadian institutionsInstitute on Governance
Fundersnot available
KeywordsTransformative learningCivil societyGender equalityPublic relationsPower (physics)Service delivery frameworkEconomic growthInequalityService (business)SociologyFocus groupPolitical sciencePublic administrationPoliticsEconomicsGender studiesBusinessLawMarketing

Abstract

fetched live from OpenAlex

Can NGOs implement rights-based gender equality programs when donor focus on the area is shrinking? This paper explores how one development program has made strategic choices incorporating the interests of multiple stakeholders, addressing donor interests while simultaneously addressing the needs of local communities. It examines the evolution of BRAC’s Polli Shomaj, a rural women’s civil society organisation designed to challenge power structures through collective action in rural Bangladesh. It draws on interviews with program staff and existing program literature to find that over time, BRAC leadership has narrowed its program focus to shed its broad transformative agenda to focus solely on gender equality through a combination of service delivery and rights-based approaches. The paper suggests that while it is possible for NGOs to promote gender equality through a combination of rights-based and service-delivery approaches, greater focus is needed on challenging power structures to bring about lasting structural change.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.826
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.002

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 head0.146
GPT teacher head0.344
Teacher spread0.198 · 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