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Record W3025872031 · doi:10.1177/2347798920921977

Representations of Saudi Male’s Guardianship System and Women’s Freedom to Travel in Western Newspapers: A Critical Discourse Analysis

2020· article· en· W3025872031 on OpenAlexaboutno aff
Tariq Elyas, Abdulrahman Aljabri

Bibliographic record

VenueContemporary Review of the Middle East · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicSocioeconomic Development in MENA
Canadian institutionsnot available
Fundersnot available
KeywordsNewspaperLegal guardianGuardianIdeologyCritical discourse analysisRepresentation (politics)SociologyContent analysisArabicGender studiesPresentation (obstetrics)Political scienceMedia studiesLawPoliticsSocial scienceLinguisticsMedicine

Abstract

fetched live from OpenAlex

There has been a tremendous interest in the Western media concerning the status of women in Saudi Arabia. The recent reform in women’s rights and guardianship system has Western media gone into motion frenzy. A few research has been done on the representation of Saudi women in Arabic newspapers, but there is a scarce of research in Western English newspapers to date. This article exercises a critical discourse analysis approach to investigate the language used in three famous Western newspapers to uncover the hidden ideologies behind the representation of Saudi women’s guardianship system. To this end, van Dijk’s (2004) analytical framework was employed to reveal the underlying ideologies of six reports by The Washington Post, The Guardian, and Toronto Star. The findings show that the three newspapers have expressed the notion of “otherness” in their descriptions of Saudi Arabia and Saudi women. Furthermore, the newspapers have shared the employment of consensus and negative other-presentation to portray Saudi women as being oppressed and subordinate.

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)0.008
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.043

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.003
Science and technology studies0.0060.011
Scholarly communication0.0070.004
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.097
GPT teacher head0.332
Teacher spread0.235 · 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 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

Citations17
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueContemporary Review of the Middle EastSame topicSocioeconomic Development in MENAFrench-language works237,207