Bibliographic record
Abstract
For a decade and half the Irish economy was the poster-boy of Europe. With substantial growth rates, an open economy, flexible labour markets and low levels of taxation, Ireland was seen as evidence of the success of neoliberal policies. Yet in the matter of a few short years Ireland has turned into a one of the peripheral black-holes (along with Greece and Portugal) that are threatening to bring down the whole Eurozone project. Given this context the paper will address two key questions. Firstly how did the much eulogised Celtic Tiger fall so far and so fast? And, secondly, what has been the government’s response to the fall and crash of the Irish economy? These two questions will be addressed through both a general historical analysis of the developments of Irish society up to the crash in 2008 and then the responses to it. Secondly by an analysis of two specific elements of that development; namely the much discussed low corporation tax rate and the failure of social housing to deliver decent affordable homes for those at the bottom of society. The third element is a review of the banking and sovereign debt crisis that led to the IMF/EU deal in November 2010 and a brief outlining of its implications for public finances, especially the question of default. The paper concludes by placing the Irish crisis in a global context.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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.
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".