Multiple Labels for Objects in Conversations With Young Children: Parents' Language and Children's Developing Expectations About Word Meanings.
Bibliographic record
Abstract
Children sometimes seem to expect words to have mutually exclusive meanings in certain contexts of early word learning. In 2 studies, 12- to 24-month-old children and their parents were videotaped as they engaged in conversations while playing with sets of toys (sea creatures, vehicles, doll clothing) in free-play, storytelling, and categorization contexts. In both studies, parents demonstrated a reliable preference to provide just 1 label for a given object. Importantly, parents' violations of this preference were usually accompanied by clarifying (or "bridging") information that either indicated the relation between the 2 labels or suggested that 1 of the labels was appropriate. Further, in some contexts, parents' tendency to use multiple labels and to provide bridging information for multiple labels was correlated with children's productive vocabulary. It is argued that these findings support a socio-pragmatic hypothesis about the origins of children's early beliefs about word meanings.
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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 | 0.016 |
| 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".