Exploring the Literary Representation of Trauma in Contemporary Iraqi Fiction from Socio-historical Perspective
Bibliographic record
Abstract
The present study aims to critically review the aspects of war in selected Iraqi war novels— Sinan Antoon, The Baghdad Eucharist (2017), Corpse Washer (2013) Zauhair Jabouri, The Corpse Hunter (2014)—that focus on depicting vividly the traumatic experiences of Iraqi, particularly after the US-led invasion of Iraq 2003 and how these novels could recur constantly to humanist themes and traumatized figures, the psychological suffering of minorities and the oppressed. In other words, it aims to make visible specific historical instances of trauma in Iraqi war fiction. The present study undertakes an in-depth investigation of the socio-political and historical dimensions of Cathy Caruth’s literary trauma simply because trauma experiences in Iraq were emanated from several causes such as social injustice, the oppression of minorities, political despotism, and the persecution of religious minorities, the displacement of Iraqis from the homeland, and the genocidal policies of jihadist. The study has found that Iraqi war fiction depends on the stylistic technique of repeating certain expressions, phrases, and lexical items to intensify the extraordinary events. It is a narrative of traumatic haunting known for its non-linear and circular style that often leads to ambiguity where readers are often unable to decode the authorial intentions, deriving its ambiguity from the traits of dreams and nightmares, the interpretations of which are continually and unredeemably haunted by the memory of loss.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".