Competitiveness of the European Food Industry : an economic and legal assessment 2007
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
The competitiveness of the European food industry is weak compared to the US and Canada and at approximately the same level as the Australian and Brazilian industry. Scenarios show that unless the productivity growth in the EU is higher than in the rest of the world, EU competitiveness remains weak. Despite the weak competitive performance, a fair number of world leading food enterprises are located in the EU. Moreover the importance of the food industry in total manufacturing is growing, and the sub-sectors value added is higher than that of most other sub-sectors in manufacturing. The impact of food legislation does not seem to affect EU competitiveness negatively compared to the US. In general, EU companies’ view on the food legislation is positive. EU authorities can increase their support for the European industry by engaging in export negotiations. This study is one of the few or maybe even the first one, which included all subsectors of the food industry and benchmarked these with important non-EU countries.
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 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 | 0.001 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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