Don’t Try This at Home: Interwar Parodies of Crime Fiction in the Eastern Mediterranean
Bibliographic record
Abstract
This article explores the insights that crime fiction offers on state formation and democratic governance in modern Greece and Egypt. Despite differing historical paths after centuries of Ottoman rule, both nations experienced periods of democratic renegotiation alongside advancements in education and the press, which have been identified as factors facilitating the emergence of crime fiction. In the Interwar period, Greek author Nirvanas and Egyptian author al-Ḥakīm vernacularised the globally dominant genre in their works to critique the modern state’s failures, particularly its inability to ensure law and order. Their novels – Nirvanas’s Έγκλημα and al-Ḥakīm’s Yawmiyyāt – utilised parody to challenge the prevailing narrative of the modern state. The analysis suggests examining the role of the educated/effendiyya class, to which both authors belonged, in upholding the state and critiquing its malfunctioning. Ultimately, early works of crime fiction in the Eastern Mediterranean offer a poignant critique of state power and its ability to deliver on its promises.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.015 | 0.018 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".