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Record W3123891118

Economic Crisis and Public Sector Reform: Lessons from Ireland

2010· preprint· en· W3123891118 on OpenAlexaboutno aff
Niamh Hardiman

Bibliographic record

VenueRePEc: Research Papers in Economics · 2010
Typepreprint
Languageen
FieldSocial Sciences
TopicSocial Policy and Reform Studies
Canadian institutionsnot available
FundersIrish Research CouncilIrish Research Council for the Humanities and Social Sciences
KeywordsRemunerationIrishPublic sectorDevaluationGovernment (linguistics)Economic policyCurrencyPoliticsPublic serviceEconomicsCurrency crisisPolitical scienceBusinessPublic administrationEconomyFinanceMacroeconomics
DOInot available

Abstract

fetched live from OpenAlex

Reception and implementation of public sector reform ideas varies across countries. Westminster-type systems (Britain, New Zealand, Australia, and Canada) adopted New Public Management ideas most enthusiastically. Ireland was slower to do so. Continental European countries were the least enthusiastic. This gives us some insight into the political and organizational conditions that underpin adoption of NPM, and of post-NPM, which now coincides with international economic difficulties. The Irish experience provides a useful prism for analysing the issues involved in seeking to alter the ‘public service bargain’ under conditions of economic crisis. Membership of the Euro provides protection against currency collapse, but also entails severe cost adjustment measures without the cushion of devaluation. The reassertion of central management of budget allocations involves making stark choices between the numbers employed, the volume of services delivered, and the rate of remuneration of employees. The options facing government depend not only on the scale of fiscal problems, but also on the manner in which the crisis is politically managed and the legitimating strategies available.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.224
Threshold uncertainty score0.445

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.003
Science and technology studies0.0030.006
Scholarly communication0.0080.006
Open science0.0010.005
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0040.001

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 head0.072
GPT teacher head0.387
Teacher spread0.315 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations11
Published2010
Admission routes1
Has abstractyes

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Same venueRePEc: Research Papers in EconomicsSame topicSocial Policy and Reform StudiesFrench-language works237,207