The Intonation of Declaratives and Polar Questions in Modern versus Heritage Icelandic
Bibliographic record
Abstract
Based on quasi-spontaneous speech data taken from a map task study designed to test Icelandic intonation, this chapter compares the intonation of declaratives and polar questions (PQs) in moribund North American (heritage) Icelandic (NAmIce), spoken by elderly speakers in Manitoba, Canada, to that of Modern Icelandic (ModIce), spoken by two age groups in Iceland. We find similarities between ModIce and NAmIce that we interpret as maintenance of Icelandic characteristics in NAmIce (e.g., L*+H L% nuclear contour in NAmIce PQs), as well as differences that we interpret as transfer from North American English to NAmIce (e.g., L* H% nuclear contour in NAmIce PQs, L*+H nuclear accent in NAmIce declaratives). These results are in line with previous research on intonation in heritage languages. We do not find pervasive differences between the two ModIce age groups.
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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 | 0.001 | 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 | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".