Bibliographic record
Abstract
This thesis explores the complicated images of the trees in Beloved. The archetypal image of the tree as tree of life reflect the pastoral “beauty” in the south by its regenerative power which assists the black slaves to gain physical flight from the slavery and the former slaves from the psychological grip of the slavery past. The “strange fruit” of the southern trees and the tree-like scar in Sethe’s back reveals the “pain” in the slavery south. Beloved’s seemingly perverse image as the residue of the slavery past aggravates this “pain”, but her foils to a revived tree stump representing the tree of history and to the metamorphosing tree-god Dionysus help the former slaves rebuild the bond with their past, thus retrieve the lost “beauty” in the south. In this sense, the continuity between the two seemingly contradicting concepts—“beauty” and “pain” is established. Key words: beauty, pain, life; history, continuity Resume: Le present article explore les images compliquees de l’arbre dans Beloved. L’image archetypique de l’arbre, comme l’arbre de vie, reflete la « beaute » pastorale du Sud par sa force regeneratrice de l’arbre qui aide les noirs a acquerir la liberte et a se debarrasser du joug mental imprime sur leur coeur par l’esclavagisme. Le « fruit insolite » sur l’arbre du Sud et la cicatrice en forme d’arbre sur le dos de Sethe revelent la « douleur » du Sud sous l’esclavagisme. Et Beloved, qui represente l’ombre laisse par l’histoire esclavagiste dans la vie des noirs, aggrave cette douleur. Mais l’image de la souche de resurrection et l’image du dieu de l’arbre permettent aux noirs de retablir le lien avec le passe pour retrouver la « beaute » oubliee dans le Sud. En ce sens, la continuite entre la beaute et la douleur, deux notions apparemment contradictoires, semble etre etablie. Mots-Cles: beaute, douleur, vie, histoire, continuite
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.024 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 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".