Gender Role in Saudi Arabian Female High School English Textbooks Traveller 1 and Traveller 2
Bibliographic record
Abstract
In an era of rapid and sustainable alterations, Saudi Arabia are now going through transformation in gender roles and opportunities. The current study aimed to investigate the gender roles in the two major English language textbooks widely used by Saudi female high school students, namely Traveller 1 and Traveller 2, which has been taught since 2013. To achieve the study goals, a mixed method was used; Content Analysis and a compiling quantitative data in which the corpus of the two English textbooks were analyzed and frequencies and percentages of gender appearances and activities were also calculated. The major findings of the study are 1) the textbooks contained some obvious gender bias and imbalance; 2) males were predominant whereas females were completely absent or marginalized; 3) females’ pictures and participations in dialogues were very limited; 4) dialogues were largely male-male predominant and were about various topics; 5) males signed to gender roles significantly higher and more aggressive; 6) in contrast, females had weaker roles and never shown as symbolic or even significant social figures.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".