SUNNY WAYS OR SOMBER WEATHER? INTERNATIONAL MANAGEMENT CONSULTANTS AND APPRAISAL OF POLICY CAPACITY
Bibliographic record
Abstract
Nearly three hundred judgments of policy capacity within one of three Ministries of Education in a South Pacific country are closely scrutinized for their accuracy. A clearly discernable and measurable halo, or its horned converse, a less positive interpretation, was apparent when internal and external raters used a modified United Nations Development Programme scale during interviews. The scale was augmented with criteria recognizing some desirable traits for civil servants. Those criteria centered on recognizing the warranting nature of various types of evidence, professional knowledge of education policy/processes, and persuasive ability of the person. North American research in cognitive science, organizational behaviour, social psychology and pragmatic-legal theories of evidence offer four explanations. The latter two theories appear to best explain overly positive or negative views of an organization’s capacity. Implications are drawn for management consultants and researchers alike when working on international development projects.
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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 | 0.016 | 0.114 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.008 | 0.008 |
| Science and technology studies | 0.004 | 0.010 |
| Scholarly communication | 0.008 | 0.007 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".