(Re) membering the Traumatized Other through Resurrecting the Dead in Dennis Scott’s An Echo in the Bone
Bibliographic record
Abstract
This paper examines the presence and impact of trauma in Dennis Scott’s An Echo in the Bone (1974). It discusses the traumatic effects of slavery and colonization on the individual and the society in Jamaica and the Caribbean. The action of the play takes place in Jamaica where people struggle against the oppression of European system of slavery and British colonial system. Scott retrieves the grievous memories of slavery, where the phrase ‘echo in the bone’ refers to racial memories of oppression and exploitation. Scott’s creativity appears through recalling cinematic flashbacks with concentric notions that depict the painful experiences of slaves and colonial policies. Recalling the continuous effects of trauma, which contemporary Jamaicans had been encountering since the history of slavery until the postcolonial era, are explored. The framework of the play’s action is provided by the Nine Night ceremony of the dead – a tradition that transcends the mourning manifestation of funeral traditions to glorify and liberate the dead person’s spirit. To this end, the researchers argue that recalling trauma through Jamaican tradition is a means of asserting that trauma is a heritage that was passed down through several generations. The researchers conclude that the play resurrects all the traumatic experiences of oppression and exploitation under the systems of slavery and colonialism to address the traumatic conditions encountered by the contemporary post-independence society in Jamaica.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.011 | 0.021 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.003 |
| 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".