Development Beyond Neoliberalism? Governance, Poverty Reduction and Political Economy
Bibliographic record
Abstract
Development Beyond Neoliberalism? Governance, Poverty Reduction and Political Economy, David Craig and Doug Porter, London and New York: Routledge, 2006, pp. xii, 340. In their collaboratively written book Development Beyond Neoliberalism? Governance, Poverty Reduction and Political Economy, David Craig and Doug Porter set out to make sense of recent changes in the liberal development project and, in doing so, chart the emergence of good governance and poverty reduction strategies (PRSs), two of the guiding principles of the post-Washington consensus. Both authors have been participants in many of the events examined, empirically resting their arguments on participatory observation in four countries while theoretically drawing on governmentality studies. The main focus of the book is development's shift towards institution building, decentralized governance and poverty reduction, which is part of the larger move from the Washington to the post-Washington consensus.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.018 |
| Scholarly communication | 0.008 | 0.007 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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".