Al margine della norma : pratiche di lingua ‘ampia’ per un’emersione sociale delle diversità
Bibliographic record
Abstract
Riassunto: L'articolo parte dalla scelta del Nuovissimo vocabolario Treccani di porre a lemma la forma femminile di aggettivi e sostantivi (ove pertinenti) accanto al maschile, senza gerarchizzazione tra le due forme, illustrando le discussioni e polemiche seguite a questo annuncio; nella seconda parte, si supera la prospettiva classicamente binaria, caratterizzante la lingua italiana, notoriamente dotata di due soli generi grammaticali, per parlare delle scelte linguistiche sperimentali, esterne alla norma linguistica, che circolano in Italia con lo scopo di designare persone di genere non conforme e gruppi misti, quindi composti di maschi, femmine e altre identità di genere.Viene illustrato il senso della sperimentazione, ma si accenna anche all'esistenza di possibili strategie alternative non per eliminare, quanto piuttosto per diminuire, nei testi, l'uso del maschile sovraesteso.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.018 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".