ARTICLE 5: DISSEMINATION AND EARLY USE OF THE PARIS DECLARATION EVALUATION
Bibliographic record
Abstract
Reflecting the long experience of the main organizers of the Paris Declaration evaluation, dissemination and use of the national and synthesis evaluation results were conceived, born, and carried out with a consistent view to the usefulness of both its processes and products for policy. This shaped all aspects of the Evaluation: governance, stakeholder participation, setting the evaluation questions, design and implementation of the processes and methods, and injecting findings and recommendations into the policy bloodstream. The focus on utility imposed the challenges of combining rigorous evaluation with a high degree of transparency and accessibility for the intended users and audiences, while building a network of stakeholders sufficiently committed, engaged, and comfortable with the results to be able to champion them through the tools and channels available to them, individually and collectively. However, the early record of influence illustrates the limits of evaluation in the face of rapidly changing political agendas.
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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 | 0.020 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".