The Competitiveness of the European ICT Industry
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.
Bibliographic record
Abstract
This paper investigates the international competitiveness of the European ICT sector. We use Labour productivity, R&D expenses and trade performance as proxies of competitiveness. The empirical analysis of 39 countries between 1999 and 2004 confirms our main hypothesis that the EU is performing better in the ICT services industry relative to manufacturing. In general, the average EU production efficiency is larger in the services sector, than in manufacturing. The study has important policy implications. Appropriate policies should be implemented – especially in the ICT manufacturing sector – for making EU more competitive in “non- price factors”, such as policies that facilitate the transformation of R&D expenses into product innovation. There are clearly areas for improvement in the way R&D is carried out in the ICT sector within the EU, with respect to both the allocation of R&D investment and the process of producing results from R&D.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it