Gender stereotyping and gendered discourses in a Hong Kong primary English textbook series
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This study analyzed the content and language of a currently published Hong Kong English language textbook series for grade one students to find out if gender stereotyping and gender bias still exist. The results of the study showed that males and females were almost equally represented and were portrayed in a similar range of activities. Females were also more visible in both illustrations and texts. The phenomena of females being underrepresented and male dominance occurred in the previous textbook studies do not exist in the examined textbook series, though males were still mentioned first when two nouns were paired for sex. Future studies that involve examining primary textbooks of different grade levels and interviewing the textbook authors are necessary so as to obtain a more confirmed conclusion that textbook authors nowadays are more aware of avoiding gender stereotyping and gender bias in the textbook contents and illustrations.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it