The Narrator's Search for her Identity in Margaret Atwood's Surfacing
Bibliographic record
Abstract
Margaret Eleanor Atwood is born on November 18, 1939, Ottawa, Ontario, Canada. She received her undergraduate degree from Victoria College at the University of Toronto and her master's degree from Radcliffe College. Atwood is a Canadian writer best known for her novels, which include: The Edible Woman (1969), Surfacing (1972), Lady Oracle (1976), Life Before Man (1979), Bodily Harm (1981), The Handmaid's Tale (1985), Cat's Eye (1988), The Robber Bride (1993), Alias Grace (1996) and The Blind Assassin (1998). Atwood is a famous writer, and her novels are best sold all over the world. She has been labelled as a Canadian nationalist, feminist, and even a gothic writer. She is well known internationally in the USA, Europe, and Australia. This research aims at showing throughout Surfacing, the way Atwood portraits the narrator as a woman searching for her own identity.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.018 | 0.016 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.005 | 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".