Differential object marking in heritage and homeland Italian
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract We examine variable patterns of use of differential object marking (DOM) in conversational Italian recorded in Toronto, Canada, and Calabria, Italy. An exhaustive sample of 366 direct objects, produced by Homeland and three generations of Heritage speakers, shows retention of the DOM system. Successive generations have lower rates of DOM, but this is because they don’t produce enough tokens of certain syntactic and semantic types (e.g., left-dislocated or indefinite pronouns). Thus, they have less opportunity to use DOM: token distributions account for their lower rates. In contexts with sufficient tokens, significant contrasts emerge, indicating that all generations retain the conditioning of relevant factors (Definiteness, Referent of Object, Verb Type, Dislocation). No effects of social network or linguistic practices emerged.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 it