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Record W2897211748

International Agreements, Data Protection, and EU Fundamental Rights on the International Stage: Opinion 1/15 (EU-Canada PNR) of the Court of Justice of the EU

2018· article· en· W2897211748 on OpenAlexaboutno aff
Christopher Kuner

Bibliographic record

VenueSSRN Electronic Journal · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicEuropean Criminal Justice and Data Protection
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceEuropean unionLawFundamental rightsInternational lawDissenting opinionInternational tradeBusinessHuman rights
DOInot available

Abstract

fetched live from OpenAlex

In Opinion 1/15, the Grand Chamber of the Court of Justice of the European Union applied the fundamental right of data protection to a pending international agreement of the EU. In its first ruling on the compatibility of an international agreement with the EU Charter of Fundamental Rights, the Court found that a draft agreement between the EU and Canada for the transfer of airline passenger name record data could not be concluded in its current form, since it was adopted under the wrong legal basis and several of its provisions were incompatible with fundamental rights. This annotation deals with a number of important issues that the Opinion raises, in particular the legal basis for international agreements on data sharing; its implications for the fundamental rights to data protection and privacy; the role that international law played in the Opinion; the use of international agreements and adequacy decisions for data transfers; how the Court dealt with issues of foreign law; and the impact the Opinion may have on the EU’s conclusion of international agreements in the future.

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.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.920
Threshold uncertainty score0.944

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.046
GPT teacher head0.307
Teacher spread0.261 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2018
Admission routes1
Has abstractyes

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