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Record W4395048800 · doi:10.1163/26663236-bja10093

The Right of Access to ‘Reliable’ Information Under Article 10 echr: From Meagre Beginnings to New Frontiers

2024· article· en· W4395048800 on OpenAlexaff
Katie Pentney

Bibliographic record

VenueThe European Convention on Human Rights Law Review · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicPrivacy, Security, and Data Protection
Canadian institutionsMcGill University
FundersUniversity of Oxford
KeywordsDenialJurisprudenceFrontierLawConventionMutual recognitionPolitical scienceHuman rightsPhase (matter)Quality (philosophy)Law and economicsSociologyComputer sciencePsychologyEpistemologyBusinessPhilosophy

Abstract

fetched live from OpenAlex

Abstract Recognition of the right of access to information under Article 10 of the European Convention on Human Rights has been marked by fits and starts. This article charts three phases in the jurisprudence – from outright denial (Phase One), through hesitant recognition (Phase Two), to recognition of a limited right in specified circumstances (Phase Three). The Court’s recent judgment in Association Burestop 55 and Others v France may mark a new frontier (or ‘Fourth Phase’), as the Court recognised for the first time that the right necessarily comprises a qualitative aspect – that is, it requires that the information disclosed is sincere, accurate, sufficient, and reliable. This could have important ramifications for the quality of the information environment in the current ‘post-truth’ era. However, several conceptual challenges, practical limitations, and lingering uncertainties will need to be addressed for the promise of the judgment to be fully realised.

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)0.045
metaresearch head score (Gemma)0.048
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.045
Threshold uncertainty score0.238

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0450.048
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0040.045
Scholarly communication0.0220.015
Open science0.0030.008
Research integrity0.0170.019
Insufficient payload (model declined to judge)0.0090.003

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 head0.059
GPT teacher head0.342
Teacher spread0.283 · 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 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

Citations4
Published2024
Admission routes1
Has abstractyes

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Same venueThe European Convention on Human Rights Law ReviewSame topicPrivacy, Security, and Data ProtectionFrench-language works237,207