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Record W7133051384

Mutual recognition in the third pillar of EU law: a shaky cornerstone

2007· dissertation· W7133051384 on OpenAlexafffund
Jim Duffy

Bibliographic record

VenueTSpace · 2007
Typedissertation
Language
FieldSocial Sciences
TopicEuropean Criminal Justice and Data Protection
Canadian institutionsCanadian HeritageUniversity of Toronto
FundersUniversity of Toronto
KeywordsMutual recognitionCornerstoneHuman rightsPillarLegislatureEuropean unionWork (physics)
DOInot available

Abstract

fetched live from OpenAlex

Recent years have seen a marked increase in legislative activity in the Third Pillar of the European Union -- Cooperation in Police and Judicial Matters. The author argues that the Union's development in this area is symptomatic of its approach to human rights generally, whereby they are subordinated to the goal of economic integration. There is, in particular, an inherent tension between human rights and the principle of mutual recognition of judgments, the so-called "cornerstone of cooperation" in the Third Pillar. This internal market principle compromises the Union's capacity to ensure that human rights are protected in criminal law and procedure, and causes "irritation" in the law itself. Using examples of mutual recognition measures already adopted in this area, the author demonstrates that mutual recognition does not work and that it hinders effective human rights protection. He suggests that the EU focus instead upon harmonising national standards whilst protecting human rights.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.376
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.083
GPT teacher head0.415
Teacher spread0.332 · 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.

Study designQualitative
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
Published2007
Admission routes2
Has abstractyes

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