Questioni intorno alla lingua nelle riviste letterarie del primo Settecento
Bibliographic record
Abstract
Riassunto: La ricerca indaga alcuni articoli presenti nei giornali settecenteschi, con particolare attenzione alle riviste letterarie della prima metà del secolo.Sotto le vesti di giornalisti, gli intellettuali dell'epoca proponevano le proprie riflessioni linguistiche attraverso saggi e recensioni di opere lessicografiche, incentivando a un maggior interesse nei confronti dei linguaggi speciali.L'italiano così veniva visto come una lingua da arricchire con lo studio della sua grammatica e l'ampliamento lessicale, necessari alla corretta comunicazione.Scopo del lavoro è centrare l'obiettivo sulla sensibilità linguistica dei questi giornali che, si vedrà, in alcuni casi saranno precursori ideologici dei più importanti fogli periodici del secondo Settecento.Si dimostrerà come l'apertura alla modernità e i tentativi di educazione linguistica facciano da tema comune agli articoli presi in esame.
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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 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.006 | 0.008 |
| Scholarly communication | 0.012 | 0.011 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.008 |
| Insufficient payload (model declined to judge) | 0.033 | 0.011 |
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".