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Record W2911795470 · doi:10.5539/ass.v15n2p133

Saudi Arabia and Saudi Women in Research Literature: A Critical Look

2019· article· en· W2911795470 on OpenAlexvenueaboutno aff
Rami F. Mustafa, Salah Troudi

Bibliographic record

VenueAsian Social Science · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicSocioeconomic Development in MENA
Canadian institutionsnot available
Fundersnot available
KeywordsOppressionScrutinyEssentialismScholarshipHegemonyGender studiesOrientalismPopulationPolitical scienceSociologySubject (documents)Social scienceHistoryLawDemographyLibrary science

Abstract

fetched live from OpenAlex

The literature abounds with many researches and articles that are written in a way that portray the Kingdom of Saudi Arabia as the poster child of hegemony, essentialism and women oppression. In recent years, no aspect of Saudi Arabian society has been subject to more scrutiny and debate than the women’s domain. Women’s rights and responsibilities have been controversial issues among both conservatives and progressives in Saudi Arabia; nevertheless, Saudi women remain among the least studied population. This study draws on the academic and professional experiences of the author dealing with Saudi women in Canada, the UK, the USA and inside Saudi Arabia to further the critical scholarship on Saudi Arabia and Saudi women as site and population of academic research to avoid the essentialist, orientalist and Westernized understanding of Saudi Arabia and Saudi women. This article is a springboard to any researcher interested in studying – critically- Saudi women’s issues.

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)0.020
metaresearch head score (Gemma)0.027
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Bibliometrics
Consensus categoriesnone
DomainCandidate signal: Incentives · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.995
Threshold uncertainty score0.108

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0200.027
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0050.004
Science and technology studies0.0120.017
Scholarly communication0.0140.009
Open science0.0010.006
Research integrity0.0040.004
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 head0.040
GPT teacher head0.394
Teacher spread0.354 · 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.

Study designObservational
DomainIncentives
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

Citations14
Published2019
Admission routes2
Has abstractyes

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