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Record W4406785498 · doi:10.17118/11143/22343

Edoardo Lombardi Vallauri (2024), Le guerre per la lingua. Piegare l’italiano per darsi ragione, Torino, Einaudi, 130 p. [978-88-06- 26151-1]

2024· article· it· W4406785498 on OpenAlex
Domenica Bruni

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueCircula · 2024
Typearticle
Languageit
FieldComputer Science
TopicLinguistic Studies and Language Acquisition
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsLingua francaHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

« 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”. [...] »

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.930
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0020.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.003

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.

Opus teacher head0.011
GPT teacher head0.251
Teacher spread0.240 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it