Bibliographic record
Abstract
Why do aid agencies from wealthy donor countries with diverse domestic political and economic contexts arrive at very similar positions on a wide array of aid policies and priorities? This book suggests that this homogenization of policy represents the effects of common processes of globalization manifest in the aid sector. Drawing on both quantitative and qualitative analysis of policy adoption, the book argues that we need to examine macro-level globalizing influences at the same time as understanding the micro-level social processes at work within aid agencies, in order to adequately explain the so-called ‘emerging global consensus’ that constitutes the globalization of aid. The book explores how global influences on aid agencies in Canada, Sweden, and the United States are mediated through micro-level processes. Using a mixed-methods approach, the book combines cross-national statistical analysis at the global level with two comparative case studies which look at the adoption of common policy priorities in the fields of gender and security. The Globalization of Foreign Aid will be useful to researchers of foreign aid, development, international relations and globalization, as well as to the aid policy community.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".