Governing development: neoliberalism, microcredit, and rational economic woman
Bibliographic record
Abstract
This paper addresses the emergence of microcredit programmes as a preferred strategy for poverty alleviation world-wide. Taking the paradigmatic case of Nepal, it engages a genealogical approach to trace how Nepalese planners' enduring concerns about rural development intersect in surprising (and gendered) ways with donors' present focus on deepening financial markets. In the resulting microcredit model, the onus for rural lending is devolved from commercial banks to subsidized 'rural development banks' and women borrowers become the target of an aggressive 'selfhelp' approach to development. As a governmental strategy, microcredit thus constitutes social citizenship and women's needs in a manner consistent with neoliberalism. Drawing on ethnographic research, the paper also considers the progressive and regressive possibilities in the articulation of such constructed subjectivities with local cultural ideologies and social processes. Such an investigation can in turn provide a foundation for articulating a more normative agenda for development studies – grounded in the perspectives of those in subordinate social locations.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.073 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".