Exploiting conditionality: EU and international actors and post-NPM reform in Ireland
Bibliographic record
Abstract
Between 2008 and 2015, Ireland undertook unprecedented and systemic public sector reforms in a polity not traditionally considered a prominent reformer. While some of these reforms comprised part of the loan programme agreement with EU and international actors, many others did not. This article argues that the crisis in Ireland provided a window of opportunity to introduce reforms that political and administrative elites had previously found difficult to implement. The authority of the Troika was invoked to provide legitimacy for controversial initiatives, yet some of the reforms went further than the loan programme strictly required. A number of these concerning organisational rationalisation, the public service ‘bargain’ and transversal policy coordination are considered here. Agreements were negotiated with public sector unions that facilitated sharp cuts in pay and conditions, reducing the potential for opposition to change. The reform effort was further legitimated by the reformers’ post-New Public Management, whole-of-government discourse, which situated considerations of effectiveness and efficiency in a broader framework of public service quality and delivery.
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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 | 0.015 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.007 | 0.026 |
| Scholarly communication | 0.016 | 0.005 |
| Open science | 0.001 | 0.015 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.005 | 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".