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Record W4384824325 · doi:10.14393/che-v22-2023-207

BRAC’s (বরযক) Adoption of Community-Based Primary Education for Socially Disadvantaged Children in Bangladesh

2023· article· en· W4384824325 on OpenAlexafffund
Mohammad Abul Fateh

Bibliographic record

VenueCadernos de História da Educação · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Educational Policies and Reforms
Canadian institutionsQueen's University
FundersQueen's University
KeywordsDisadvantagedContext (archaeology)Economic growthCurriculumPolitical sciencePower (physics)Power structureSociologyEconomicsGeographyPolitics

Abstract

fetched live from OpenAlex

This article provides a critical-historical analysis of BRAC’s adoption of non-formal primary education (NFPE) while de-emphasizing ‘conscientizing’ functional education in Bangladesh during 1980s. The central question of this paper is why did BRAC´s adopt NFPE in 1985 within the framework of its needs. In this study, I analyze BRAC’s education program from 1973 to 1985, with particular attention to the international neoliberal context of 1980s, policy shift of the western aid industry, and relationship that BRAC and its founder had with local power structures and consecutive Bangladeshi regimes (Fateh, 2020). I examine BRAC’s curriculum documents, project proposals, evaluation reports, and statements made by BRAC’s founder Fazle Hasan Abed. My findings suggest that beside supporting the disadvantaged children, BRAC’s adoption of NFPE is for the sake of its organizational growth associated to its submission to local power structure, and dominant neoliberal framework of the international aid industry.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.102
Threshold uncertainty score0.202

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.002
Scholarly communication0.0010.001
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.033
GPT teacher head0.355
Teacher spread0.322 · 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 source (direct Gemma or distilled Codex), not a consensus.

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

Citations0
Published2023
Admission routes2
Has abstractyes

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