Bibliographic record
Abstract
Toni Morrison’s Beloved explores how the American decision to enslave Africans was a failure in love affecting the love relationships between enslaved mothers and children, mates, and members of the free black community. Through focus on maternal infanticide, the novel makes conscious the slave mothers’ plight: since they could not offer their children lives in freedom, they experienced motherlove as “as a killer.” The concepts of cultural phantom, cultural shadow, and cultural complex help identify what in Beloved is being drawn from collective unconsciousness for purposes of collective healing. The following analysis distinguishes personal complexes, such as the protagonist’s negative mother complex, from cultural complexes, such as the guilt issuing from the structural impossibility of protecting ones children from slavery. Morrison’s giving conscious representation to the psychological legacy of slavery opens a possibility of increased psychological freedom for the African-American community. Further, because Beloved offers to American collective consciousness the understanding that enslaving people is a failure in love, it provides an opportunity for all Americans to help heal the American dream, making it more whole by enabling the rights to life, liberty, and equal justice for all through incorporating the ideal of love of one another.
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 | 0.000 | 0.000 |
| Science and technology studies | 0.010 | 0.007 |
| Scholarly communication | 0.003 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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".