Creating Competitive Markets for Service Delivery : Policy Options and Country Experiences
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Social enterprises (SEs) are defined as \n private organizations that use business approaches to \n achieve social, environmental and economic outcomes. The \n number of SEs providing social services has grown rapidly \n across the world, and is reaching sizeable populations. This \n note is prepared at the request of the Ministry of Finance \n (MoF) of Russian Federation to support drafting and \n implementation of new law on outsourcing municipal social \n services. The note is part of the technical assistance \n provided to the Ministry of Finance (MoF). This note \n explores various policy options for engaging social \n enterprises as services providers and creation of a \n competitive market for service provision in Russia. In \n particular, the MoF expressed interest to learn from \n examples of Canada, Germany, France, Sweden, United Kingdom \n (UK) and United States (US).
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.042 | 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 it