We black: the literature of the african diaspora in the Americas, and its common elements
Bibliographic record
Abstract
Literature can help us to understand the world. In this case, the novels are in a privileged place to accomplish it. As art, the brightness of the novels come from the aesthetic, but the whole body of the narrative brings out the load of feelings and actions that pulse right in the social relations as well, exploring spaces which sociology knows how to scrutinize. When it is about the afro-descendant literature, no matter where in the Americas the fiction is from, it will always communicate with another fiction created by any other black author in any other place of the Americas, just because of the forced African diaspora aftermaths. Based on this hypothesis, this research proposes an analysis of novels of four black authors from four countries: The Underground Railroad, by the American writer Colson Whitehead, At the full and change of the moon, by the Canadian-Trinidadian Dionne Brand, A brief history of seven killings, by the Jamaican Marlon James, and Alleys of memory, by Brazilian Conceição Evaristo. The aim of it is not to elucidate the complexity of the world of the Americas, built up by the exploitation of the black people in the slavery system, but to problematize sociologically the literature of black voice.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.016 | 0.013 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| 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".