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Record W2134849151

Finland's Path to the Global Productivity Frontier through Creative Destruction

2010· article· en· W2134849151 on OpenAlexvenueno aff
Mika Maliranta, Pekka Ylä-Anttila

Bibliographic record

VenueInternational productivity monitor · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicRegional Development and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsRestructuringFrontierDeregulationProductivityEconomicsLiberalizationInvestment (military)IncentiveCreative destructionInternational economicsInternational tradeEconomic geographyEconomyMarket economyMacroeconomicsGeographyFinancePolitical science
DOInot available

Abstract

fetched live from OpenAlex

The marked acceleration of Finnish productivity growth since the mid-1980s is attributable to intensifying creative destruction, understood as the joint effect of market entry and exit as well as resource reallocation between continuing plants and firms. This acceleration coincided with the economy-wide deregulation, liberalization, and the opening up of Finland, which provided new incentives and opportunities, thus enabling individuals and businesses to capitalize on intangible capital accumulated via sustained investment since World War II. The “Nokia effect” was particularly important in the latter half of the 1990s, but productivity enhancing restructuring has been more widespread. Developments in Finland are contrasted to those in Japan, Sweden, and the United States.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0040.002
Open science0.0000.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.022
GPT teacher head0.338
Teacher spread0.315 · 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 designObservational
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

Citations15
Published2010
Admission routes1
Has abstractyes

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