MétaCan
Menu
Back to cohort
Record W2042840128 · doi:10.1108/08288661211277506

A feminist interpretation of Grameen Bank Sixteen Decisions campaign

2012· article· en· W2042840128 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

VenueHumanomics · 2012
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicMicrofinance and Financial Inclusion
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsDowryEmpowermentFeminismSociologyValue (mathematics)Public relationsEconomic growthPolitical scienceGender studiesEconomicsLaw

Abstract

fetched live from OpenAlex

Purpose The purpose of this paper is to look at Grameen Bank (GB) Sixteen Decisions campaigns and its implications to feminism; and to examine the degree to which women borrowers of the Grameen Bank are empowered to participate in familial decision‐making around dowry and teenage marriage and to develop their public spaces in the community. Moreover, the paper critically looks at the GB women borrowers' development through the Sixteen Decisions. Design/methodology/approach The study uses multiple research methods. It reviews and analyzes GB Sixteen Decision texts and feminist literature, uses survey method to collect data from Grameen Bank micro borrowers in 2011 and uses secondary data. Findings The survey finds information on the GB members and GB family members elected in the Union Parishad Elections in 1997 and in 2003, a testimony that GB women borrowers' local counsel participation trend is increasing. This study still finds the gender equality issues exist in the GB Sixteen Decisions texts and the Sixteen Decisions campaign strategies for women borrowers' empowerment. Originality/value This critical analysis of GB Sixteen Decisions is very important to empower GB women borrowers because the GB Sixteen Decisions texts and the Sixteen Decisions campaigns could be made more effective in addressing women's issues like dowry‐less marriage, teenage marriage and gender equality rights in the family and community space if Grameen Bank could revise the Sixteen Decisions texts and support borrowers in their anti‐dowry and anti‐teen age marriage campaign in Bangladesh.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.679
Threshold uncertainty score0.792

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.049
GPT teacher head0.254
Teacher spread0.205 · 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