Bibliographic record
Abstract
ABSTRACT: Questo saggio si propone il fine di misurare l’impatto della transizione dalla didattica in aula a quella a distanza nel contesto dei corsi di italiano per principianti offerti, nel semestre autunnale 2020, dal Programma di Italiano dell’università canadese Dalhousie. Prendendo simultaneamente in considerazione i risultati del feedback formale e informale fornito dagli allievi, i dati raccolti tramite la ricerca-azione e l’osservazione dei corsi da parte di specialisti esterni, e una molteplicità di parametri valutativi, il presente intervento mira a delineare alcuni vantaggi e svantaggi dell’insegnamento a distanza dell’italiano come lingua straniera.Parole-chiave: Didattica dell’italiano. Glottotecnologie. Ricerca-azione. RESUMO: Este artigo analisa o impacto da transição das aulas presenciais ao formato virtual, especificamente no contexto das três seções do curso “Italiano para Iniciantes” oferecido no segundo semestre de 2020 pelo Programa de Italiano da Universidade de Dalhousie, Canadá. Justapondo os feedbacks formais e informais dos alunos, os dados recebidos da observação de terceiros através de pesquisa-ação e as avaliações de diversos indicadores de sucesso, este artigo visa delinear algumas vantagens, bem como os principais desafios, do ensino a distância do italiano enquanto idioma estrangeiro.Palavras-chave: Didática do italiano. Glototecnologias. Pesquisa-ação. ABSTRACT: This paper scrutinizes the impact of the transition from face-to-face teaching to online instruction, in the context of the Italian for Beginners courses offered in the fall semester 2020 by the Italian Program at Dalhousie University, Canada. By juxtaposing the student’s formal and informal feedback, the input received from third-party observation via action-research, and the assessment of a variety of indicators of success, this paper aims at outlining some advantages, as well as the main challenges, inscribed into at-distance teaching of Italian as a foreign language.Key words: Teaching Italian as a foreign language. At-distance instruction. Action-research.
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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 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.009 | 0.009 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.014 | 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".