The Paris Declaration on aid Effectiveness: History and Significance
Bibliographic record
Abstract
Abstract: The Paris Declaration, endorsed in 2005, commits international development aid donors and recipients to act in accordance with five principles: ownership, alignment, harmonization, results, and mutual accountability. This landmark international agreement was the culmination of several decades of attempts to improve the quality of aid and its impact on development. As context for the evaluation of the Paris Declaration, this article traces the history of international agreements that led up to the Paris Declaration and the significance of the agreement itself. The number of countries and international organizations endorsing the Declaration was unprecedented, reflecting a greater diversity of voices included in international deliberations on aid effectiveness. It provided a practical, action-oriented roadmap with specific targets to be met. The evaluation derives its significance and relevance from the importance of the Paris Declaration and from the innovative, rigorous evaluation approach taken as an exemplar of joint evaluations.
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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 | 0.086 | 0.105 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.005 |
| Science and technology studies | 0.008 | 0.034 |
| Scholarly communication | 0.031 | 0.010 |
| Open science | 0.003 | 0.014 |
| Research integrity | 0.009 | 0.013 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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".