Acoustic Correlates of Focus Marking in Czech and Polish
Bibliographic record
Abstract
Languages vary in the type of contexts that affect prosodic prominence. This paper reports on a production study investigating how different types of foci influence prosody in Polish and Czech noun phrases. The results show that in both languages, focus and givenness are marked prosodically, with pitch and intensity as the main acoustic correlates. Like Germanic languages, Polish and Czech patterns show prosodic focus marking in a broad range of contexts and differ in this regard from other fixed-word-stress languages such as French. This suggests that (a) Polish and Czech are similar to Germanic languages and are unlike Romance languages in marking a variety of types of focus prosodically; (b) there is no close correlation between fixed word stress and lack of prosodic focus marking because Polish, which has fixed stress on the penult, shows prosodic focus marking for all types of focus; and (c) there is no straightforward relationship between flexible word order and whether focus and givenness are prosodically marked, contrary to earlier claims, because both Czech and Polish, with their relatively flexible word order, are more similar to English than Romance languages.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".