An acquisition sketch of Inuktitut
Bibliographic record
Abstract
Inuktitut is a language of the Inuit-Yupik-Unangan language family spoken by approximately 34,000 people in north-eastern Canada.The current study documents salient patterns of development in phonology, lexicon and semantics, morphology, syntax, and gesture in child-directed speech (CDS) and child language by analyzing five hours of spontaneous naturalistic interactions between children (age 1;4-3;4) and their families.The overview structure of the study follows the guidelines of the Sketch Acquisition Manual (Defina et al. 2023).In the CDS, we find that mothers' use of lexicon, morphosyntax, and gestures increases in complexity with the children's age.However, mothers' use of greeting routines and speech acts stays constant regardless of child age.In contrast, children's language increases in complexity in correspondence with age for every area that we examined.These findings confirm information about Inuktitut acquisition from previous studies using more data (Allen, in press).They also provide insight into areas of Inuktitut acquisition that have not yet been studied -including phonology, gestures, and speech acts -and thus contribute to increasing diversity in our knowledge of language acquisition.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.009 | 0.007 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.622 | 0.456 |
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".