MétaCan
Menu
Back to cohort
Record W2954745856 · doi:10.5539/ijel.v9n4p163

Power Struggle Between Supreme Court and the Government: Ideological Role of Pakistani Print Media in Representation of Swiss Letter Issue

2019· article· en· W2954745856 on OpenAlexvenueno aff
Arshad Mehmood, Tayyaba Bashir, Khan Fida Hussain Khan, Shamim Ali

Bibliographic record

VenueInternational Journal of English Linguistics · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicDiscourse Analysis in Language Studies
Canadian institutionsnot available
Fundersnot available
KeywordsNewspaperAudience measurementIdeologySupreme courtRepresentation (politics)MainstreamPrime timePoliticsContent analysisNews valuesPolitical scienceMedia studiesGovernment (linguistics)Power (physics)LawSociologySocial scienceLinguistics

Abstract

fetched live from OpenAlex

Newspaper headlines constitute an essential part of media discourse, which is an important field of research in Discourse and Communication Studies. Particularly, certain features of news headlines and their role in observing and directing readers’ attention have made the interface between linguistic analysis of newspaper headlines and the opinion building of the readership. In order to explore the ideological role of print media in representation of Swiss Letter Issue which resulted nullification of an elected prime minister of Pakistan by Supreme Court and the next PM of the same political party was also facing the same challenge. Three widely distributed English newspapers (The News International, DAWN and The Nation) have been selected using purposive sampling technique. Designated time ranges between 1st July 2012 and 31st December 2012, very significant pre-election period in Pakistan. To find the coverage given to the issue by the selected newspapers, total 319 related headlines were found. The data were selected through simple random sampling technique. The obtained data has been analysed by using Faiclough’s three-dimenional model of critical discourse analysis, and simple statistical analysis as well. The findings of the study indicate that print media of Pakistan used manipulative strategies in construction of headlines on Swiss Letter Issue and represented the issue in a biased manner.

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)0.000
metaresearch head score (Gemma)0.010
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
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 score0.502
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.013
GPT teacher head0.276
Teacher spread0.263 · 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 designTheoretical or conceptual
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

Citations2
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueInternational Journal of English LinguisticsSame topicDiscourse Analysis in Language StudiesFrench-language works237,207