Bibliographic record
Abstract
This paper contributes to recently expanded interest in documenting variable as well as categorical patterns of endangered languages. It describes approaches, tools and curricular developments that have benefitted from involving students who are heritage language community members, key to expanding variationist focus to a wider range of languages. I describe aspects of the Heritage Language Variation and Change Project in Toronto, contrasting a “truly” endangered language to a less clearly endangered language. Faetar, with <700 homeland speakers (in Italy) and some 200 in Toronto, and no transmission to a third generation in Toronto, is endangered by any definition. Heritage Italian, in contrast, is a diasporic variety related to a robust homeland variety as well as the mother tongue of 166,000 Torontonians. However, reports of strong English influence on the language and transmission statistics both suggest that it too is endangered in Toronto. Homeland and Heritage patterns are compared to better understand the processes of language variation and change in lesser-studied varieties, with a focus on null subject patterns. Analysis of the more endangered language helps interpret otherwise ambiguous patterns in the less endangered language. Results indicate that neither heritage language exhibits the simplification anticipated for small languages in contact with a majority language.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".