New Public Managementhervormingen in Canada : analyse van de bestuurlijke vernieuwing in Canada in de periode 2000-2010
Bibliographic record
Abstract
Sinds het ontstaan van bestuur wordt nagedacht over bestuurlijke vernieuwing.De verhouding tussen de overheid en de maatschappij verandert, waardoor taken, bevoegdheden en verantwoordelijkheden van de overheid ook veranderen.In dit onderzoek wordt onderzocht hoe bestuurlijke vernieuwing in Canada zich heeft ontwikkeld.Door antwoord te geven op de vraag 'Hoe en in hoeverre kan middels de padafhankelijkheidsbenadering van Lynn worden verklaard waarom New Public Managementhervormingen van bestuurlijke systemen op centraal niveau in de periode 2000-2010 in Canada makkelijker dan wel moeilijker door te voeren waren?' wordt er een beeld geschetst van de trends en ontwikkelingen van de bestuurlijke vernieuwing in Canada. New Public Management en het perspectief van LynnNPM richt zich op het verbeteren van de overheid, door managementtechnieken uit de private sector toe te passen.Hierdoor worden efficiëntie en effectiviteit van overheidsinstanties verbeterd (Peters, 2010: 328). BB1.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.010 |
| Science and technology studies | 0.007 | 0.003 |
| Scholarly communication | 0.008 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.010 | 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".