Contextual influences on children's use of vocal affect cues during referential interpretation
Bibliographic record
Abstract
In three experiments, we investigated 5-year-olds' sensitivity to speaker vocal affect during referential interpretation in cases where the indeterminacy is or is not resolved by speech information. In Experiment 1, analyses of eye gaze patterns and pointing behaviours indicated that 5-year-olds used vocal affect cues at the point where an ambiguous description was encountered. In Experiments 2 and 3, we used unambiguous situations to investigate how the referential context influences the ability to use affect cues earlier in the utterance. Here, we found a differential use of speaker vocal affect whereby 5-year-olds' referential hypotheses were influenced by negative vocal affect cues in advance of the noun, but not by positive affect cues. Together, our findings reveal how 5-year-olds use a speaker's vocal affect to identify potential referents in different contextual situations and also suggest that children may be more attuned to negative vocal affect than positive vocal affect, particularly early in an utterance.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".