Bibliographic record
Abstract
Mazza: Calabrian abounds in semantic subtleties that determine the play’s distinctly piercing, at times hilarious soundscapes, which is really another way of saying that its tone and its very rhythm are content dependent. I can give you an example of the sort of challenge I faced in the trans- lation. The play opens with Raffaele cursing vehemently to himself, blaming his wife that his pen went missing Trying to emulate the verbal tone of the original through the customary Canadian English religious and sexual expletives would never do something much more horri- fying is going on in the original that dictates the pitch of Raffaele’s delirious rage. In essence, Calabrians’ favourite way of blaspheming is through the word “mannaia,” which refers to the implement the executioner used on the block to axe the head of the condemned. In other words, the mannaia is the axe or, roughly, the guillotine. Furthermore, in swearing, the Calabrian dialect turns the noun “mannaia” into a verbal imperative, so that when Raffaele says, “Mannaia tutti i riavuli ra maronna!” et cetera, he is literally giving the mad order to chop off heads. Therefore, in order to keep true to the pitch of his delivery, I had to translate a little of the content of his blas- phemies, which are veritable re-enactments of what Calabrians may have watched unjustly and bloodily in their collective tyrannical past!
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.025 | 0.011 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.004 | 0.012 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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".