Bibliographic record
Abstract
Perché scandalizzarsi a parlare di traduzione oggi, quando si tratta di una abilità messa in atto spontaneamente da molti studenti e praticata altrettanto sovente dagli insegnanti? In questo saggio partiamo da una ricognizione sull’uso della L1 nella storia della glottodidattica — preponderante nel metodo grammaticale-traduttivo, bandito nel metodo comunicativo — sino ad arrivare ad alcune proposte metodologiche di ricorso mirato avanzate in tempi recenti da diversi autori. Ci inseriremo in questo dibattito, condividendo con il lettore esperienze condotte nell’aula di italiano LS¹ ¹Un ringraziamento a quanti hanno collaborato alla realizzazione di questo articolo: gli studenti della Universidade do Estado do Rio de Janeiro e della Universidade Federal do Rio de Janeiro; Maria Franca Zuccarello, Carolina Giampietro e Franco Pauletto.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.035 | 0.023 |
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; both teacher heads agree on what is shown here.
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".