A comparative study of child-directed language across five cultures based on data from the <i>Acquisition Sketch Project</i>
Why this work is in the frame
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Bibliographic record
Abstract
Throughout the history of child language acquisition research, the study of child-directed language (CDL) has attracted significant attention. In particular, there has been considerable debate regarding the characteristic features of CDL and their universality/variability across the world’s languages. Yet, although data from many languages have been analyzed, the totality of the crosslinguistic coverage is still poor. In this paper, we report on an analysis of CDL across five diverse languages and cultures: Murrinhpatha (Southern Daly, non-Pama-Nyungan), Pitjantjatjara (Pama-Nyungan), Qaqet (Baining), Tagalog (Western Austronesian), and Inuktitut (Inuit-Yupik-Unangan). Using data collected for the Acquisition Sketch Project, an initiative in which Barb was a core member, we find both striking commonalities and clear differences in CDL across our target languages. The findings are consistent with the argument that CDL emerges as a set of culturally mediated behavioural practices, with some features being more commonly observed than others. The findings underline the value of the Acquisition Sketch approach in widening the evidence base of the field of child language acquisition, one of Barb’s major contributions to the field.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it