Gheno, Vera (2024), Grammamanti. Immaginare futuri con le parole, Torino, Einaudi, 142 p. [ISBN: 9788806260224]
Bibliographic record
Abstract
« Il volume Grammamanti. Immaginare futuri con le parole, scritto da Vera Gheno e pubblicato da Einaudi nel 2024, propone una lunga e articolata riflessione sull’amore per la lingua, attraversando con seria e accattivante leggerezza territori della filosofia del linguaggio e della sociolinguistica. Già nell’esergo, Gheno introduce – scegliendo una citazione di Marcel Proust – la prospettiva dell’amore come «l’estensione [dell’essere amato …] a tutti i punti dello spazio e del tempo che ha occupato e occuperà». La citazione proustiana ci fa comprendere, come è confermato poi dalle pagine che seguono, che l’amore per la lingua, che favorisce l’indagine linguistica, investe e avvolge la fenomenologia della lingua in tutte le sue realizzazioni. Si tratta, in altre parole, di un “grammamore” che si rivolge al complesso e variegato sistema di suoni e forme, al sistema di regole e contravvenzioni che costituisce il linguaggio umano. […] »
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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.010 | 0.008 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.141 | 0.095 |
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".