Matteo Grassano (2024), Nel turbinio delle parole. Lingua e riflessione linguistica in Alfredo Panzini, Milano, Biblion edizioni (collana “Il debol parere. Itinerari alternativi di storia linguistica italiana”, 4), pp. 290. [ISBN 978-88-33-83374-3]
Bibliographic record
Abstract
« Il grande interesse del Dizionario moderno di Alfredo Panzini per la storia del lessico e della lessicografia italiana motiva la costante attenzione degli studi per questo fondamentale repertorio di neologismi primonovecentesco, che si è rinnovata a partire dal Convegno che nel 2005 celebrava i cento anni della prima edizione (Adamo-Della Valle, 2006) ed è proseguita in numerosi contributi su svariati aspetti dell’opera (tra cui si segnalano gli studi di Franchi, 2006, 2010, 2012), fino al recente progetto di edizione elettronica progressiva diretto da Maconi (cfr. Maconi, 2023). [...] »
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.
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 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.012 | 0.006 |
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".