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Record W7052157869

Review of the broadcasting powers and responsibilities in selected countries
Report for the expert panel on a shadow broadcasting and communications authority for Wales

2023· book· en· W7052157869 on OpenAlexaboutno aff

Bibliographic record

VenueORCA Online Research @Cardiff (Cardiff University) · 2023
Typebook
Languageen
FieldEngineering
TopicPlasma Diagnostics and Applications
Canadian institutionsnot available
FundersCardiff UniversityArts and Humanities Research CouncilKing's College London
KeywordsDevolution (biology)Shadow (psychology)Public broadcastingBroadcasting (networking)Media policyPublic policy
DOInot available

Abstract

fetched live from OpenAlex

This report provides a review of the broadcasting powers and responsibilities in the Basque Country, Canada, Denmark, the Republic of Ireland and Estonia. The research is based on
analysis of official policy documents, industry data and academic literature published over the last 15 years from these countries and across European and international media policy domains.
Through five profiles the report presents a factual summary of each country’s media system,supported by in-depth case studies of contemporary debates within that country on public media governance, regulation, funding and content provision. The report examines specific issues relating to serving the needs and interests of distinct linguistic and cultural communities, as well as exploring the countries’ strategies for adapting policy and public service
organisations to the digital media landscape.
The report also offers a summary of our findings and general observations on the structure of these various media systems, their distinct approaches to policymaking, and the implications of different models or methods for governing and regulating public media. We hope the cases presented are interesting, informative and useful for the Expert Panel’s deliberations on the prospects for the devolution of broadcasting powers to Wales.

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)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.358
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.117
GPT teacher head0.342
Teacher spread0.225 · 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 designNot applicable
Domainnot available
GenreReview

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
Published2023
Admission routes1
Has abstractyes

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