For the Drifting Sargasso Finds Its Way: Loss and Reconstruction of Antoinette’s Identity in Wide Sargasso Sea
Bibliographic record
Abstract
Adopting the applied techniques and methods of comparative literature, the postcolonial, the feminist and the psychosocial theories, this paper comes in contact with two literary works through spotlighting the external forces that can be supportive and encouraging on the one hand but undermining and discouraging the two protagonists’ long and arduous search for an identity and an independent self on the other. The paper investigates the similarities and differences in these two literary works to discover how the two writers correspond to the search of identity of the two protagonists’ in the two different novels. In addition, this paper also scrutinizes the way of the struggles that these female protagonists display to achieve their respective goals. Upon penetrating into the novels, each protagonist alights on herself in a distinctive manner depending on the state of affairs and the external forces that thoroughly determines the construction or destruction of her identity in full measure. In fact, they have picked what they want. They care to have a world of their own where there shall be their own choices of life style, terms and decisions.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.011 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".