Bottom-up development as framed freedom: developmentality and donor power
Bibliographic record
Abstract
International development assistance is founded on and reproduces a set of conceptual and structural binaries. Development actors themselves have attempted to alter lopsided aid relations, as illustrated by the prominent policy agendas of ownership and localisation in the 2010s. These are both expressions of bottom-up approaches to international aid, which challenge the very hierarchical nature of development as a particular Western instrument and historical project of intervention. This article argues that the top-heavy, donor-driven policies to turn development bottom-up fail not simply because of these discursive challenges. Aid asymmetries also persist because of the neoliberal audit culture evolving in tandem with the liberal contours of ownership and localisation agendas. This is analysed in terms of developmentality, which, as a tacit and indirect form of power, is both produced by and simultaneously undermines the liberal tenets of bottom-up approaches.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".