Bibliographic record
Abstract
The object of this paper is to examine resistance against the ruling ideology as a means of true survival in The Blind Assassin of Margaret Atwood (1939-), the iconic Canadian writer. In The Blind Assassin (2000), Atwood shows a more true way of survival through Iris who creates her own history in the process of raising her voice and forming her identity. Especially, Atwood uses straightforward language to unveil the faces of women who have been traumatized by submitting to the culture codes of a patriarchal system. This unveiling shows how women have been exploited by, and excluded from, the discussion of Western culture. The Canadian society as Atwood describes it is reminiscent of a Foucauldian society of surveillance and also has attributed as a British colony and economically weak country relative to its southern neighbor the USA, as described in Survival. Iris refuses to be stuck within such social boundaries, as she attempts to recognize and estimate her limitations. After her sister’s suicide, Iris begins to recognize how blind she was and begins to write a memoir to fix her distorted life. Her memoir is a “left-handed book” that contains multiple narrations and uncertain truths, an indeterminacy that overturns the traditional consistent, linear writing style of history. Finally, she experiences true survival and restore her historical identity and subjectivity by letting her granddaughter Sabrina to publish the memoir.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.010 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 0.003 |
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".