Edoardo Lombardi Vallauri (2024), Le guerre per la lingua. Piegare l’italiano per darsi ragione, Torino, Einaudi, 130 p. [978-88-06- 26151-1]
Bibliographic record
Abstract
« Le guerre per la lingua. Piegare l’italiano per darsi ragione è l’ultimo volume, pubblicato per Einaudi, di Edoardo Lombardi Vallauri, professore di linguistica all’Università di Roma Tre. Il rapporto tra guerra e lingua, sebbene possa sembrare insolito, riveste una notevole importanza in molte analisi storiche e sociolinguistiche. L’autore affronta in modo deliberatamente provocatorio, fin dal titolo del volume, il legame tra conflitto e linguaggio invitandoci a considerare la lingua come un campo di battaglia ideologico. Lombardi Vallauri mostra come le guerre tra le lingue siano storicamente esistite e come questi conflitti nella maggior parte dei casi siano volti alla difesa o all’attacco di specifici idiomi. Tuttavia, il testo si concentra su guerre di natura diversa, sollevando interrogativi su quanto sia provocatorio accostare i concetti di “guerra” e “lingua”. [...] »
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.047 | 0.029 |
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".