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Record W1971057103 · doi:10.5539/ibr.v3n3p32

Technology market in the European Union

2010· article· en· W1971057103 on OpenAlexvenueno aff
Alina Hyż

Bibliographic record

VenueInternational Business Research · 2010
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Growth and Productivity
Canadian institutionsnot available
Fundersnot available
KeywordsMargin (machine learning)European unionProduction (economics)EconomicsBusinessComputer scienceInternational economicsMicroeconomics

Abstract

fetched live from OpenAlex

<!-- /* Style Definitions */ p.MsoNormal, li.MsoNormal, div.MsoNormal {mso-style-parent:""; margin:0cm; margin-bottom:.0001pt; mso-pagination:widow-orphan; mso-hyphenate:none; font-size:12.0pt; font-family:"Times New Roman"; mso-fareast-font-family:"Times New Roman"; mso-fareast-language:AR-SA;} p.MsoBodyText, li.MsoBodyText, div.MsoBodyText {margin-top:0cm; margin-right:0cm; margin-bottom:6.0pt; margin-left:0cm; mso-pagination:widow-orphan; mso-hyphenate:none; font-size:12.0pt; font-family:"Times New Roman"; mso-fareast-font-family:"Times New Roman"; mso-fareast-language:AR-SA;} @page Section1 {size:612.0pt 792.0pt; margin:72.0pt 90.0pt 72.0pt 90.0pt; mso-header-margin:36.0pt; mso-footer-margin:36.0pt; mso-paper-source:0;} div.Section1 {page:Section1;} --> The common market of factors of production in the European Union (EU) involves the free movement of labour factor, financial capital and innovation/technology. Technology as a separate factor of production in an integrating area is rarely incorporated into theoretical analysis. From a theoretical point of view, there are different relationships between various segments of the market of factors of production. Importance and strength of the relationship between them changes with each shift in the economic development of the EU member countries and deepening of integration processes. No doubt, however, that the central element becomes innovations / technologies, that lead to structural changes and local changes in integrating areas. Therefore, the purpose of this article is to assess the progress of the integration processes on the technology market in the EU and the identification of the relationship between this segment of the market of factors of production and its remaining segments. The first part of the article presents the technology as a factor of production in an integrating area. Next we describe the influence of R&D on the region’s competitiveness and we identify the main characteristics of the technology market in the European Union. The main aim of the next part of the paper is to indicate the role of international business in the creation and transfer of technology in the European Union. The analysis conducted in the paper is based on specialist literature and statistical data.

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)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.074
Threshold uncertainty score0.249

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.003
Science and technology studies0.0010.001
Scholarly communication0.0080.005
Open science0.0010.002
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0740.020

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 head0.061
GPT teacher head0.302
Teacher spread0.241 · 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
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

Citations10
Published2010
Admission routes1
Has abstractyes

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