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HOW TO ASSESS ADMINISTRATIVE REFORM? INVESTIGATING THE ADOPTION AND PRELIMINARY IMPACTS OF THE NORWEGIAN WELFARE ADMINISTRATION REFORM

2010· article· en· W1975219832 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePublic Administration · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicPublic Policy and Administration Research
Canadian institutionsPricewaterhouseCoopers (Canada)
Fundersnot available
KeywordsNorwegianContext (archaeology)Welfare reformAutonomyPublic economicsWelfarePoliticsAdministration (probate law)Process (computing)EconomicsPublic administrationPolitical scienceMarket economy

Abstract

fetched live from OpenAlex

This article addresses how to assess public-sector reforms using a reform in the Norwegian welfare administration as a case study. This reform represents a complex hybrid organizational form and a challenging combination of political control and local autonomy. We examine first how the reform has addressed its three main goals. These were to get people off welfare and back into work, to bring about more service-orientation, and to increase efficiency. We also address the side-effects of the reform by describing operational effects, process effects and system effects. Second, we examine how effects can be understood from an instrumental, cultural, and environmental perspective. A main finding is that context is significant for effects, and that it has so far proven difficult to discern clear overall effects concerning the main goals of the reforms and their side-effects.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.969
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0010.002
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.090
GPT teacher head0.383
Teacher spread0.293 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it