Bibliographic record
Abstract
This chapter interrogates the Euro-centric explanatory frameworks used to order and interpret embodied expressions of trauma. It places in dialogue two texts that demand a decolonial practice of attending to expressions of trauma. This involves an ethics of reading the body – specifically, skin-based practices – as traumatic testimony in ‘post-colonial’ texts, one that resists a singular Western frame of selfhood, and the attendant linear wellness narrative couched in a discourse of pathology and cure. It first considers autobiographical accounts of Canadian skin grafting on Inuit children, part of a vexed history of colonial medical experimentation from the 1950s–70s. It further explores the re-narrativisation of traumatic testimony through Igbo-Tamil writer Akwaeke Emezi’s semi-autobiographical literary debut, Freshwater , where the protagonist’s experiences of hearing voices and self-mutilation complicate a DSM-based psychiatric reading, framed as the text is through the Igbo ontology of the malevolent born-to-die ogbanje child. Drawing from these accounts, the chapter interrogates both the corporeal and epistemic violence enacted within a (neo)colonial circulation of biopower. Ultimately, it illuminates the agentive potential in these narrative acts that address and redress such violence. Keywords: Decolonial; intersectionality; medical humanities; race; African literature; mental health; psychiatry, mythology; body studies
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 | 0.002 | 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 | 0.007 | 0.033 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.006 | 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".