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Record W4250095913 · doi:10.1108/oxan-db224809

Italy’s growth outlook will be subdued without reforms

2017· other· en· W4250095913 on OpenAlexaboutno aff

Bibliographic record

VenueEmerald expert briefings · 2017
Typeother
Languageen
FieldSocial Sciences
TopicRegional Development and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)EconomicsInflation (cosmology)PaceInvestment (military)DebtEconomic policyInterest rateMonetary economicsInternational economicsMacroeconomics

Abstract

fetched live from OpenAlex

Significance Italy’s national accounts confirmed that the economy grew by 0.4% quarter-on-quarter for a third quarter in April-June, driven by services and a 0.6% increase in industrial activity, which had dragged growth lower in the first quarter. Household spending, fixed investment and stockbuilding made strong contributions to growth but net exports contributed nothing, with exports and imports rising at a similar pace and offsetting each other. Impacts Private spending and business investment will be the main drivers of growth in 2017-18. Real disposable income is likely to slow due to accelerating inflation, but the improving labour market should nonetheless support spending. Fiscal policy may tighten next year, but potential growth will remain below 1% without more widespread structural reform. The banking sector will strengthen, helped by rising rates and no more near-term rescues but the public debt burden remains a constraint.

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)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.118
Threshold uncertainty score0.395

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0050.003
Open science0.0010.003
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.1180.123

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 head0.035
GPT teacher head0.336
Teacher spread0.300 · 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 designTheoretical or conceptual
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
Published2017
Admission routes1
Has abstractyes

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