Tra misoneismo e ""fedeltà linguistica"" : la percezione dei neologismi in un campione di parlanti
Bibliographic record
Abstract
Lo studio ha lo scopo di osservare la percezione dei neologismi da parte del parlante medio. Per farlo si sono prese in considerazione le osservazioni di un campione di parlanti sulle parole agnellato, ghostare, poliamore, skincare. Tali osservazioni sono state raccolte tramite due canali: 1) i commenti ai post su Facebook dell’Accademia della Crusca relativi agli studi sulle quattro parole; 2) un questionario online.Si registrano vari atteggiamenti all’interno del campione: un consueto atteggiamento censorio, dietro il quale convivono diversi aspetti (a volte, la presunta difesa della lingua è soltanto un pretesto per ricorrere al linguaggio d’odio; in molti altri casi, invece, la resistenza nei confronti del “nuovo” è la spia della cosiddetta “fedeltà linguistica”) ma anche idee maggiormente liberali (emerse in particolare dal questionario, più che dai commenti sul social).
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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 | 0.006 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.032 |
| Scholarly communication | 0.012 | 0.014 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.004 | 0.006 |
| 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".