The Journalistic Representations of Saudi Women in the Corpus of Contemporary American English (COCA): A Corpus Critical Discourse Analysis
Bibliographic record
Abstract
This paper is a corpus critical discourse analysis of the journalistic representations of Saudi women as they appear in the Corpus of Contemporary American English (COCA) (Davies, 2008). It follows a sociocognitive approach (van Dijk, 2008) to explore the thematic foci discussing issues related to Saudi women and to discuss the discursive strategies implemented to propagate such issues. The study has reached four findings. First, the thematic foci related to Saudi women are textually and referentially coherent as they were meant to provide a grand narrative underlying a specific context model. Second, Saudi women are negatively represented as no social roles are ascribed to them throughout the corpus. Third, different social actors are also represented alongside Saudi women to put them in a wider socio-cultural context to aggravate their problems. Finally, the most effective discursive strategies which mediated the running context model included victimization, categorization, stereotyping, normalization, and exaggeration.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.005 | 0.006 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".