Data Protection, Data Transfers, and International Agreements: the CJEU’s Opinion 1/15
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
On 26 July the EU Court of Justice (CJEU) issued Opinion 1/15, which is its most significant ruling on the international dimensions of data protection law since its 2015 judgment in Case C-362/14 Schrems (previously discussed in a Verfassungsblog debate).In Opinion 1/15, the Grand Chamber of the Court found that the draft agreement between the EU and Canada for the transfer of passenger name record (PNR) data may not be concluded in its current form, since several of its provisions are incompatible with EU fundamental rights law.As the Court's first ruling on the compatibility of a draft international agreement with the EU Charter of Fundamental Rights, the judgment has important implications for many areas of EU law.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.005 |
| Open science | 0.006 | 0.002 |
| 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 it