THE SUI GENERIS NATURE OF THE COMPREHENSIVE ECONOMIC AND TRADE AGREEMENT BETWEEN CANADA AND THE EUROPEAN UNION
Bibliographic record
Abstract
The Comprehensive Economic and Trade Agreement between Canada and the European Union (CETA) due the contracting parties include a large number of involved countries, which fact creates an ambiguous possibility of various implications in the worldwide business practice considering the different national legal systems. In my paper I am using a deductive approach to the relationship between the theory and the research with an emphasis on the two research questions: Why the ISDS (Investor State Dispute Settlement) from CETA sparked the greatest attention?, and What is causing the legal discrepancy between the CETA’s provisions on hard copy and the possible implementation in business practice?. My paper is focused on the implications from the CETA’s concluding in the business practice, taking into consideration that CETA is a combination of strengths and weaknesses, opportunities and possible threats.
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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 | 0.001 | 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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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 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".