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Record W3026728378

Quarterly Economic Commentary Research Notes, Autumn 2015

2015· article· en· W3026728378 on OpenAlexaboutno aff
David Duffy, Kieran McQuinn, Ciara Morley, Daniel Foley

Bibliographic record

VenueArchive of European Integration (AEI) (University of Pittsburgh) · 2015
Typearticle
Languageen
FieldHealth Professions
TopicGlobal Health Care Issues
Canadian institutionsnot available
Fundersnot available
KeywordsIrishNowcastingEconomicsPaceQuarter (Canadian coin)National accountsFinancial crisisPer capitaFellGeographyDemographyMacroeconomicsPopulation
DOInot available

Abstract

fetched live from OpenAlex

The pace of the Irish recovery would appear to be increasing; the latest National Accounts indicate that output in the economy grew by over 5 per cent in 2014 and by almost 2 per cent in Q2 2015 alone. Use of the nowcasting model (summarised in the Appendix) suggests the economy is growing through Q3 by approximately 1.5 per cent per quarter in 2015. Accordingly, we now update our forecast for GDP in 2015 to 6 per cent, with GNP expected to grow marginally less at 5.9 per cent. One significant consequence of this is that Irish income per capita, which fell significantly post-2007, is now back to the peak level prior to the financial crisis.

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)0.005
metaresearch head score (Gemma)0.024
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.128
Threshold uncertainty score0.428

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.024
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0030.002
Scholarly communication0.0080.004
Open science0.0010.002
Research integrity0.0080.007
Insufficient payload (model declined to judge)0.1280.048

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 head0.171
GPT teacher head0.435
Teacher spread0.265 · 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 designNot applicable
Domainnot available
GenreCommentary

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

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