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Record W2140944885 · doi:10.1017/s0007123412000555

Auntie Knows Best? Public Broadcasters and Current Affairs Knowledge

2012· article· en· W2140944885 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueBritish Journal of Political Science · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Media and Politics
Canadian institutionsUniversité de MontréalMcGill University
FundersEconomic and Social Research CouncilSocial Sciences and Humanities Research Council of CanadaJapan Society for the Promotion of ScienceNorges Forskningsråd
KeywordsPolitical scienceIndependence (probability theory)Test (biology)Public relationsAdvertisingBusinessBiology

Abstract

fetched live from OpenAlex

Public service broadcasters (PSBs) are a central part of national news media landscapes, and are often regarded as specialists in the provision of hard news. But does exposure to public versus commercial news influence citizens’ knowledge of current affairs? This question is investigated in this article using cross-national surveys capturing knowledge of current affairs and media consumption. Propensity score analyses test for effects of PSBs on knowledge, and examine whether PSBs vary in this regard. Results indicate that compared to commercial news, PSBs have a positive influence on knowledge of hard news, though not all PSBs are equally effective in this way. Cross-national differences are related to factors such as de jure independence, proportion of public financing and audience share.

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.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.786
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.004
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.056
GPT teacher head0.370
Teacher spread0.314 · 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