Bronte, Trollope and Collins’ Heroine Characterizations and Their Views on Victorian Women
Bibliographic record
Abstract
By looking at how authors characterize their characters in novels, by analyzing how authors make their characters talk, behave, think, we can catch a glimpse of how they think of their characters, as well as a specific social group those characters represent. In this paper, we will focus on Charlotte Bronte, Anthony Trollope and Wilkie Collins’ different views on their heroines’ nature and on Victorian women’s nature in general by extension, based on their different heroine characterizations and their usages of language to do so in Jane Eyre , Barchester Towers and The Woman in White . Generally, this paper reaches the conclusion that Bronte hopes Victorian women be affectionate and independent; Collins hopes them be innocent and submissive, while Trollope rejects female conformity, and views them as varied and multifaceted individuals.
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How this classification was reachedexpand
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 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".