Bibliographic record
Abstract
Demonstratives and locative adverbs cross-linguistically are typically acquired relatively late, with children initially overusing proximal forms. However, these findings are largely based on research in languages with only two or three demonstratives. It is unclear whether the findings extend to languages with more complex systems. The present study examines data from Inuktitut, a language of the Inuit-Yupik-Unangan family, which has 20 demonstrative roots and 10 locative adverb roots representing six spatial distinctions. It uses data from 18 Inuktitut speakers (8-60 years) to investigate the target-like use of demonstratives/locatives and data from eight Inuktitut-speaking children (1-4 years) and their mothers to determine the acquisition trajectories of these structures. Children initially used only the proximal demonstratives/locatives, which aligns with prior research. The proportion of proximal forms out of all others decreased significantly with mean length of utterance in morphemes (MLUm), and by MLUm 2.50, children were using the full demonstrative/locative paradigm in a target-like manner. This differs from prior research and highlights the importance of language diversity in acquisition research.
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How this classification was reachedexpand
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 | 0.000 |
| 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 | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".