“The New History” in Toni Morrison’s Beloved and the Construction of the Black’s Subjectivity
Bibliographic record
Abstract
Toni Morrison is a famous contemporary American writer who mainly focuses her attention on the life of the black: their history as well as their spiritual world. In her highly acclaimed novel Beloved, Morrison conciously sets African Americans’s past and their present living situation into her work, for she intends to make use of her literary discourse to reproduce “A New History”—the true history of the American black people that was once veiled by the American white’s mainstream society. In this way, she hopes to cure the psychological trauma of the black and call on her people to look for their lost culture root and reconstruct their ethnic consciousness. So this article will apply the theory of new historicism to analyze how Morrison reveals the pathetic history of American black and the cracks in colonialism and hegemony in Beloved, thus subverting the master discourse and breaking down the black’s marginalized identity,and finally reconstructing Afro-American’s culture and their subjectivity.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.036 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| 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".