The Role of Syntactic Flexibility and Prosody in Marking Given / New Distinctions in Finnish
Bibliographic record
Abstract
One of the most fascinating aspects of Finnish grammar is the number of different information structure marking devices speakers have at their disposal, using syntax, prosody and morphology. The present article empirically investigates the interplay of syntax and prosody by analysing semi-spontaneous speech with variable word order and comparing it to scripted speech. The main object of attention lies in a detailed analysis of the phonetic correlates of new and focused words obtained in an experiment eliciting localisation expressions. While speakers of the scripted data used standard SVO word order, participants in our study were free to choose the most suitable word order. Speakers made extensive use of syntactic marking of information structure when this option was available, while prosodic marking was more pervasive when syntactic variability was excluded. Based on this interplay, we suggest a link between discourse congurationality and prosodic phrasing, arguing that both conspire for an optimal marking of information structure.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".