Spenser in Turkey: For a Syllabus of Errors
Bibliographic record
Abstract
This article examines the state of Spenser studies in Turkey. The task is challenging, because his works have never been translated into Turkish. He is, in short, largely absent. We first contextualize this absence by attending to the Turkish reception of allegory, a genre tainted by post-Romantic biases and associations with the Ottoman past, which modern Turkey has long defined itself against. As a result, allegory in Turkey has paradoxically been read too allegorically, as exemplifying a dead and oppressively theological era. We then identify impediments to a Spenserian readership downstream from this, including the nature of Turkish pedagogy and the reluctance of Turkish scholars and students to identify positively with the Ottoman past. By identifying such blockages, we hope to foster a richer engagement with Spenser in Turkey, as well as new comparative work on Ottoman and Spenserian allegory, particularly in light of the latter’s involvement in anti-Ottoman racialization.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.007 | 0.004 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.013 | 0.003 |
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".