Guess who? Children use prosody to infer intended listeners
Bibliographic record
Abstract
This study examined the relative influence of prosody and semantic content in children's inferences about intended listeners. Children (n = 72), who ranged in age from 5 to 10 years, heard greetings with prosody and content that was either infant or adult directed and chose the intended listener from amongst an infant or an adult. While content affected all children's choices, the effect of prosody was stronger (at least, for children aged 7-10 years). For conditions in which prosodic cues were suggestive of one listener, and content cues, another, children aged 7-10 years chose the listener according to prosody. In contrast, the youngest age group (5- to 6-year-olds) chose listeners at chance levels in these incongruent conditions. While prosodic cues were most influential in determining children's choices, their ratings of how certain they felt about their choices indicated that content nonetheless influenced their thinking about the intended listener. Results are the first to show the unique influence of prosody in children's thinking about appropriate speech styles. Findings add to work showing children's ability to use prosody to make inferences about speakers' communicative intentions.
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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 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".