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Record W4200100066 · doi:10.24917/20811861.19.29

Prawda czy fałsz w polityce informacyjnej? Wiarygodność telewizyjnych newsów a opinie polskich widzów w pierwszym kwartale pandemii COVID-19

2021· article· en· W4200100066 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueAnnales Universitatis Paedagogicae Cracoviensis | Studia ad Bibliothecarum Scientiam Pertinentia · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Issues in Poland
Canadian institutionsnot available
Fundersnot available
KeywordsCredibilityContext (archaeology)Coronavirus disease 2019 (COVID-19)Quarter (Canadian coin)Ranking (information retrieval)PsychologyAdvertisingPandemicPoliticsPolitical scienceHistoryComputer scienceBusinessMedicineArtificial intelligence

Abstract

fetched live from OpenAlex

The authors studied the opinions of a randomly selected group of 100 respondents on the subject of policy of Polish and English language television services broadcasted at the very beginning of the COVID-19 pandemic. An anonymous online survey asked respondents about the accuracy and reliability of the information, with the goal of understanding of how much respondents were aware of the influence of all news on their political views and attitude. Media content analysis, critical analysis of literature, as well as comparative and statistical methods were analysed in conjunction with the responses to provide a wider context. The authors were also interested in learning: 1) if people would choose the same TV station, 2) their approval rating of the incumbent president, and finally, 3) whether their preferences would be in line with the official ranking data. The authors concluded that the respondents’ recognition of the credibility of the new sources facilitated the formation of political views, and in the process, their choices.

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 categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.445
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.017
Science and technology studies0.0060.003
Scholarly communication0.0010.003
Open science0.0020.001
Research integrity0.0010.001
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 head0.080
GPT teacher head0.397
Teacher spread0.317 · 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