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Record W2134722888 · doi:10.1111/ecaf.12136

Why Is <scp>I</scp>taly Doing So Badly?

2015· article· en· W2134722888 on OpenAlexaff
Gianluigi Pelloni, Marco Savioli

Bibliographic record

VenueEconomic Affairs · 2015
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal Financial Crisis and Policies
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsRestructuringCollective actionEconomic stagnationAction (physics)Civil societyEconomicsPolitical economyPolitical scienceCreative destructionEconomic systemDevelopment economicsMarket economyLawPolitics

Abstract

fetched live from OpenAlex

Abstract We analyse the current Italian economic crisis as a phase of a major systemic decline. We argue that ‘Italy's system’ has forced the country to abandon a dynamic view of comparative advantage, crucial for sustained economic growth, in favour of a static view of specialisation. Creative destruction has been hampered and sectoral restructuring has not occurred, resulting in stagnation. The roots of this decline lie in collective action issues and an implicit contract between elites and civil society. We suggest that these issues must be resolved if the Italian economy and society are to revive.

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)0.007
metaresearch head score (Gemma)0.018
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: Empirical · Consensus signal: none
Teacher disagreement score0.031
Threshold uncertainty score0.062

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.018
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0040.008
Scholarly communication0.0090.004
Open science0.0010.002
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0180.007

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 head0.025
GPT teacher head0.221
Teacher spread0.196 · 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
GenreEmpirical

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

Citations2
Published2015
Admission routes1
Has abstractyes

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