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Record W2416588021 · doi:10.1080/07481187.2016.1186761

Blurred world view: A study on the relationship between television viewing and the perception of the justice system

2016· article· en· W2416588021 on OpenAlexaff
Benedikt Till, Florence Truong, Raymond A. Mar, Thomas Niederkrotenthaler

Bibliographic record

VenueDeath Studies · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicMedia Influence and Health
Canadian institutionsYork University
Fundersnot available
KeywordsPerceptionPsychologyCapital punishmentSocial psychologyConsumption (sociology)Economic JusticePunishment (psychology)Media consumptionTelevision studiesSociologyPolitical scienceCriminologyMedia studiesLawSocial science

Abstract

fetched live from OpenAlex

Previous studies suggest that distorted representations of reality on television can lead to distorted perceptions of reality among viewers. In this study, 322 individuals in Austria reported their weekly television consumption and whether they believe that there is active practice of capital punishment in Austria, which has been abolished since 1968. The more television participants watched, the more likely they mistakenly believed that there is, or recently was, capital punishment in Austria, even when controlling for participants' age and education. It seems that television has the potential to influence viewers' perception and knowledge of core aspects of society.

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)0.001
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.286
GPT teacher head0.362
Teacher spread0.077 · 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 designObservational
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
Published2016
Admission routes1
Has abstractyes

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