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Record W6996265641

Regulating the press: a comparative study of international press councils

2012· article· en· W6996265641 on OpenAlexaboutno aff

Bibliographic record

VenueOxford University Research Archive (ORA) (University of Oxford) · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicMedia Studies and Communication
Canadian institutionsnot available
Fundersnot available
KeywordsBlueprintStatutory lawDemocracySanctionsScrutinyFreedom of the press
DOInot available

Abstract

fetched live from OpenAlex

This report is the first comparative study of international press councils designed to inform the Leveson Inquiry and stimulate wider debate on UK press reform. Its aim is not to identify a blueprint for future regulation, rather it seeks to draw together core principles from the experience of overseas regulation. It also explores the challenges shared by regulators in an era marked by the blurring of boundaries between converging media platforms, between ‘professional’ and ‘citizen’ journalists and between national and global publication.\n\nIn this report Lara Fielden draws on interviews conducted with the Press Council Chairs and Press Ombudsmen in Australia, Denmark, Finland, Germany, Ireland and Sweden, supplemented by case studies from Canada, New Zealand and Norway. She investigates how distinct approaches to press council purposes, membership, funding, codes of ethics and complaints-handling provide thought-provoking points of comparison and contrast. Are press councils mandatory or voluntary and are there merits in a framework of statutory incentivises? What sanctions do press councils have at their disposal and how do they view ‘the public interest’? What impact do they have on press standards and what have been their successes and failures?\n\nPress freedoms, the report contends, are not an end in themselves but serve a democratic function in the public interest. The report therefore argues that however press regulation is developed in the UK, the interests of the public should lie at its heart.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.471
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.002
Scholarly communication0.0000.001
Open science0.0020.001
Research integrity0.0000.000
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 head0.125
GPT teacher head0.342
Teacher spread0.217 · 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

Citations11
Published2012
Admission routes1
Has abstractyes

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