Triangle of Hatred: Sexism, Racism and Alienation in Toni Morrison’s The Bluest Eye
Bibliographic record
Abstract
The dilemma of the African American woman is based on racial and sexist oppression that constantly marginalizes her where she is confined in a pitiful state of nothingness. This double oppression is best featured in Toni Morrison’s novel The Bluest Eye . The present article purports to investigate how African American women have tragically fallen under the destructive spell of sexism and racism and, consequently, marginality and alienation. My argument runs within the main lines of both feminist and cultural theoretical approaches. The Bluest Eye addresses three important issues: sexism, racism and alienation. This triangle relationship exposes the African American women’s intricate situation. Morrison criticizes both the oppressing forces in her (black) culture and white racism, whereas the whites take advantage of history to justify their own right to rule on the basis of the inferiority of a race and the superiority of another. This view of the justification of history conforms to Althusser’s concept of falsified ideology exploited to hegemonize others, where the black man justifies his sexism against his fellow women. Thus, the idea of the justification of history and the falsified ideology establish cultural and ideological oppression leading to the alienation of black women.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.019 | 0.044 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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".