MétaCan
Menu
Back to cohort
Record W4313257680 · doi:10.5430/wjel.v12n8p450

The Rescue Discourse: Representations of Saudi Women in the Western Media

2022· article· en· W4313257680 on OpenAlexvenueno aff
Ibtesam AbdulAziz Bajri, Amirah Abdulrahman Alqurayqiri

Bibliographic record

VenueWorld Journal of English Language · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicSocioeconomic Development in MENA
Canadian institutionsnot available
Fundersnot available
KeywordsRepresentation (politics)IdeologyPower (physics)Gender studiesIntervention (counseling)PerceptionSociologyPsychologyMedia studiesSocial psychologyPolitical sciencePoliticsLaw

Abstract

fetched live from OpenAlex

It is important to observe that the media has a significant effect on how people form perceptions, knowledge, and attitudes towards issues in society. Generally, the western media views Saudi women as oppressed, unprivileged, and unable to participate and integrate with society due to Saudi culture, which the western media claims are ultra-conservative. In addition, the western media shows that Saudi women are in desperate need of western intervention to rescue them. The purpose of this paper is to examine the representation of Saudi women in four articles published pre and post the lifting of the driving ban; to investigate the processes in discourse through which such a representation is formed, and to investigate the underlying power relations and ideology that enable and motivate such a representation. Implementing Fairclough’s (1995b) three-dimensional model of CDA, the researchers find that there is a positive shift in the way Saudi women are represented in the media from a submissive image to a more affluent and independent woman.

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)0.006
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation 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 score0.129
Threshold uncertainty score0.423

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.002
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 science0.0010.000
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 head0.014
GPT teacher head0.316
Teacher spread0.302 · 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.

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

Citations3
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueWorld Journal of English LanguageSame topicSocioeconomic Development in MENAFrench-language works237,207