Bibliographic record
Abstract
<!-- /* 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.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.008 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".