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Record W2770367432 · doi:10.1111/ecaf.12267

Rebalancing and Regional Economic Performance: Northern Ireland in A Nordic Mirror

2018· article· en· W2770367432 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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueEconomic Affairs · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Policy and Reform Studies
Canadian institutionsnot available
FundersQueen's UniversityQueen's University Belfast
KeywordsDevolution (biology)Public sectorArgument (complex analysis)CopyingDividendEconomicsCorporationPrivate sectorNorthern irelandEconomic sectorEconomic policyPolitical scienceEconomyEconomic growthGeographyLawSociology

Abstract

fetched live from OpenAlex

Abstract Northern Ireland has been characterised as having an excessively large public sector. This characterisation has led some to explain poor regional economic performance in terms of ‘crowding out’. This diagnosis has been used to justify a policy of ‘rebalancing’ and the region copying its southern neighbour's lower rate of corporation tax. The experience of large public sectors in the Nordic economies seems however to suggest that higher public spending is not necessarily damaging. This argument is examined critically. Rodrik's comparative institutional analysis indicates that in the Nordics a large public sector was the result of building a successful tradable private sector rather than its cause. In terms of the possible ‘economic dividend’ from devolution we suggest that a Hayekian insight is better: no ‘silver bullets’ exist.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.193
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.020
GPT teacher head0.287
Teacher spread0.268 · 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