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Foregrounding technology over politics? Media framings of federal elections in Malaysia

2009· article· en· W2166220148 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.

Bibliographic record

VenueArea · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicAsian Studies and History
Canadian institutionsMemorial University of NewfoundlandWestern University
Fundersnot available
KeywordsForegroundingMainstreamICTSPoliticsPolitical scienceNarrativeInformation and Communications TechnologyAlternative mediaPolitical communicationFederal electionPolitical economyPublic relationsMedia studiesSociologyLaw

Abstract

fetched live from OpenAlex

Mainstream and alternative media play an important role in circulating powerful narratives within and often beyond a country's borders. This article specifically examines how Malaysia's media have framed the relationship between information and communication technologies (ICTs) and the country's electoral process. To this end, the authors conducted a content analysis of selected domestic mainstream and alternative media sources for two weeks before and two weeks after Malaysia's last three federal elections – 1999, 2004 and 2008 – to gauge how coverage has changed over time with shifts in the local political landscape and growing ICT access and usage.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.742
Threshold uncertainty score0.310

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0000.000

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 head0.015
GPT teacher head0.282
Teacher spread0.267 · 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