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Record W7134408108

Mañana:Thesocietaloriginsofdelayedfiscaladjustment

2015· other· W7134408108 on OpenAlexaboutno aff
Zsófia Barta

Bibliographic record

VenueArchive of European Integration (AEI) (University of Pittsburgh) · 2015
Typeother
Language
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsAusterityQuarter (Canadian coin)Polarization (electrochemistry)Fiscal adjustmentCarry (investment)Structural adjustment
DOInot available

Abstract

fetched live from OpenAlex

Heavily indebted and in the throes of drastic austerity programmes, Italy and Ireland find themselves much in the same situation as a quarter of a century ago. In the second half of the 1980s and the early 1990s, the two countries carried out successful fiscal and economic stabilization programmes that elicited intense attention from scholars of economic adjustment. The recurrence of the two countries’ troubles provides an exceptional opportunity to put theories of economic adjustment to test. Comparative analyses of the earlier instances of stabilization concentrated on the similarities between the two cases and converged on emphasizing the importance of social pacts in allowing successful reform. In contrast, this paper shows that already a quarter century ago, the two countries followed very different trajectories to stabilization despite the institutional similarities of the solutions they adopted. It argues that fundamental differences in the two countries’ societal structure – more specifically, differences in the level of socio-­economic polarization – are crucial in understanding the differences in the two countries’ ability to renegotiate redistributive arrangements and thus to carry out successful adjustment then as now.

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 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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.260
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0020.002
Science and technology studies0.0000.004
Scholarly communication0.0000.001
Open science0.0030.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0160.009

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 head0.020
GPT teacher head0.211
Teacher spread0.191 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2015
Admission routes1
Has abstractyes

Explore more

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