« Base Phrygian Turk! » Injures et « espèces de… » : analyse microscopique d’un étrange spécimen shakespearien
Bibliographic record
Abstract
This article offers an interpretation of the strange term “base Phrygian Turk” that Pistol uses to insult Falstaff in The Merry Wives of Windsor. If the spectators understand why Slender is called “latten bilbo” (1.1.150) or “Banbury Cheese” (2.2.120), and why Falstaff is called “whale” (2.1.56), “hodge pudding” (5.5.150) or “bag of flax” (5.5.150), this “Base Phrygian Turk” is less transparent and resists interpretation. Using Evelyne Larguèche’s theoretical work on the insulting effect (“l’effet injure”), we ask the question whether there is meaning behind these abusive words or whether their meaning only resides in the speech-act that consists in insulting. Studying the representation of the Islamic world in Elizabethan society and theatre, we show that far from being a mere “pistolism”, this insult suggests that Falstaff “turns Turk” in this play.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".