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Record W2799073853 · doi:10.1109/icoin.2018.8343194

The analysis of convergence — Divergence in the development of innovative and technological processes in the countries of the Arctic Council

2018· article· en· W2799073853 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
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

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicEconomic and Technological Developments in Russia
Canadian institutionsnot available
FundersRussian Science FoundationSaint Petersburg State University
KeywordsConvergence (economics)Divergence (linguistics)Foreign direct investmentTechnological changeGovernment (linguistics)EconomicsInvestment (military)ArcticValue (mathematics)EstimationEconomic geographyBusinessInternational tradeMacroeconomicsPolitical scienceMathematicsStatisticsOceanography

Abstract

fetched live from OpenAlex

The article gives the estimation of the convergence-divergence indicators of development of innovative and technological processes in circumpolar countries. The processes of convergence - divergence of innovative and technological processes were studied in eight countries of the Arctic Council - Canada, Denmark, Finland, Iceland, Norway, Russia, Sweden, the United States of America on the basis of statistical information from 1985 to 2015. As the indicators, measuring innovative and technological processes, the following one were considered: the number of patents issued, the expenditures on technological innovations, the payments of funds for the import of technology, the cash inflow from the export of technology. To analyze the convergence-divergence of innovative and technological processes the methods of the σ - convergence, the absolute β convergence and the conditional β - convergence were used. Using the method of the conditional β - convergence, we analyzed the impact of foreign direct investment (FDI) and government expenditure on the fundamental research and development (average value of FDI for the period; the average value of government expenditure over the period).

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)0.004
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.247
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.003
Science and technology studies0.0000.004
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.055
GPT teacher head0.292
Teacher spread0.237 · 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