Do Human Rights Matter in Bilateral Aid Allocation? A Quantitative Analysis of 21 Donor Countries<sup>*</sup>
Bibliographic record
Abstract
Objective. To analyze the role of human rights in aid allocation of 21 donor countries. Methods. Econometric analysis is applied to a panel covering the period 1985 to 1997. Results. Respect for civil/political rights plays a statistically significant role for most donors at the aid eligibility stage. Personal integrity rights, on the other hand, have a positive impact on aid eligibility for few donors only. At the level stage, most donors fail to promote respect for human rights in a consistent manner and often give more aid to countries with a poor record on either civil/political or personal integrity rights. No systematic difference is apparent between the like‐minded countries commonly regarded as committed to human rights (Canada, Denmark, the Netherlands, Norway, and Sweden) and the other donors. Conclusions. Contrary to their verbal commitment, donor countries do not consistently reward respect for human rights in their foreign aid allocation.
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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 | 0.012 | 0.029 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".