A Feminist Stylistic Analysis of “Broken Verses” by Kamila Shamsie
Why this work is in the frame
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Bibliographic record
Abstract
This research employed the feminist stylistic framework of Sara Mills in determining the difference between Kamila Shamsie’s women and men characters in her novel “Broken Verses”. The selected novel was analyzed using the model provided by Sara Mills, which aims to investigate texts at the level of word, phrase/sentence. The research identified dominant and recurring features in the novel. Women characters differ from the men in that there are more descriptions given to them which pertain to their thoughts, emotions, experiences, vulnerability towards men, and their physical characteristics. Men are described according to their physical strength, personalities, attitudes, which dominate women. Overall, the research shows that at these levels of analysis, the novel consistently foregrounds the female consciousness and experience. At the same time, the novel also magnifies the pervading dominance of men over women in many circumstances.
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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 | 0.000 | 0.004 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 it