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Record W2904051567 · doi:10.56461/spz16411c

INDEPENDENT INVESTIGATION OF VIOLATIONS OF THE EUROPEAN CONVENTION ON HUMAN RIGHTS ATTRIBUTABLE TO POLICE ACTIVITIES

2016· article· en· W2904051567 on OpenAlexaboutno aff
Vesna Ćorić, Rajko Radević

Bibliographic record

VenueStrani pravni zivot · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicEuropean Criminal Justice and Data Protection
Canadian institutionsnot available
Fundersnot available
KeywordsHuman rightsConventionPolitical scienceLaw

Abstract

fetched live from OpenAlex

In the course of last two decades some European countries have created independent police complaints bodies with investigative powers, which were originally established in Canada and Australia. The creation of these bodies is in line with the independent investigation standards which have been determined by the European Court of Human Rights in its extensive body of case law as well as by the Commissioner for Human Rights in his Opinion concerning Independent and Effective Determination of Complaints against the Police. This article argues that the reluctance of many European states to comply with the specific independent investigation standards is a consequence of inconsistent and insufficiently clear case law of the European Court of Human Rights as well as of the incomplete wording of the Commissioner’s Opinion when it comes to the investigation of human rights violations which are allegedly attributable to police activities.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.085
metaresearch head score (Gemma)0.119
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.085
Threshold uncertainty score0.451

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0850.119
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0060.004
Science and technology studies0.0050.016
Scholarly communication0.0130.006
Open science0.0030.012
Research integrity0.0100.009
Insufficient payload (model declined to judge)0.0040.001

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 head0.073
GPT teacher head0.333
Teacher spread0.260 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations2
Published2016
Admission routes1
Has abstractyes

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