MétaCan
Menu
Back to cohort
Record W2902127875 · doi:10.5539/ies.v11n12p94

Media Strengthens Social Stability of Saudi Society

2018· article· en· W2902127875 on OpenAlexvenueno aff
Mohammed bin Saqr Alillaiti

Bibliographic record

VenueInternational Education Studies · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicSocioeconomic Development in MENA
Canadian institutionsnot available
Fundersnot available
KeywordsDissenting opinionSocial mediaPublic relationsSociologyCitizenshipSubject (documents)Mass mediaPerspective (graphical)Media coveragePolitical scienceMedia studiesLaw

Abstract

fetched live from OpenAlex

Media in our time is the force behind driving the formation of awareness of society in terms of citizenship and social stability. It builds a society in terms of values, but also destroys beliefs and values that may have been formed ages ago. It is a double-edged weapon. This study aims to present the concept of media, its importance and role in society with regard to social stability and indicate the role of Saudi media in contributing to social stability from the perspective of faculty members in Saudi universities. The Results show that Media in this age is what sets the agenda for the public and is usually subject to media professionals. In addition, Media during the process of formulating its message succumbs to the pressures of its sponsors, regardless of their scientific level and background. In light of the results of this study, the researcher recommends that Saudi media be given the importance of the dialogue methods used in its programs and coverage so that the public can learn how to respect dissenting opinions. This is achieved via setting up a lot of areas for meaningful discussions so that the public can accept it and that there are opinions that must not be marginalized.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.321
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.117
GPT teacher head0.440
Teacher spread0.323 · 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 designQualitative
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

Citations1
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueInternational Education StudiesSame topicSocioeconomic Development in MENAFrench-language works237,207