Sarcasm as Postcolonial Dialogue: Bloggers, Cultural Hegemony and Resistance
Bibliographic record
Abstract
Abstract This essay looks at two young English-speaking Iraqi bloggers whose internationally recognized writings describe the chaos in post-Saddam Iraq. It examines sarcasm as a mode of resistance as employed by Salam Pax, characterized by BBC Radio in 2003 as “the most famous diarist in the world,” and Riverbend, whose blog was published as a book and translated into several languages. By subjecting the colonial discourse to ridicule, they not only successfully convey the angst their people suffer, but also mock a stereotypical rhetoric that haunts the Western mentality regarding the Middle East. This essay negotiates their use of sarcasm as a means of non-violent resistance. It demonstrates how, for instance, they shift from the sarcastic to the absurd to unravel the banality of the colonial mind and the conceited position of its liberating enterprises. The aim of the paper is, therefore, to shed light on the emergence of a digitalized group of subalterns who write back to the center in the wake of the American intervention to topple the Baath regime in Iraq. Pax and Riverbend distinctively succeed in subverting the colonial and hegemonic gaze by unravelling the encroaching uncertainties of war through the deployment of sarcasm to signify resistance, and by transforming the coalition forces’ theatre of war into a theatre of the absurd.
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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 | 0.006 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.010 | 0.024 |
| Scholarly communication | 0.014 | 0.009 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.003 | 0.005 |
| 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".