Portraits d’Une Femme: A Comparative Study of Jean Rhys’s Antoinette and Charlotte Brontë’s Bertha
Bibliographic record
Abstract
Reading Jean Rhys’s Wide Sargasso Sea after Bronte’s Jane Eyre , one does not sympathize with Jane anymore, nor does she really see Bronte’s Bertha as an imbruted partner for Mr. Rochester. This paper will take a comparative look at the way Antoinette Cosway is presented and treated in Jean Rhys’s Wide Sargasso Sea and at the way Bertha is presented in Charlotte Bronte’s Jane Eyre . The study of some dominant themes in Rhys’s novel, themes such as racial discrimination, imperial oppression, place attachment, displacement and its influence on Antoinette, will work as technical elements of the comparison. In particular, the motif of Antoinette/Bertha’s madness in an imperialistic and patriarchal society will be analyzed in details. The scholars who are interested in post-colonialism will find this paper useful in that it discusses the role of the colonizer and the colonized with regard to the female characters of the putative novels.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.026 | 0.016 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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".