Time in Child Inuktitut: A Developmental Study of an Eskimo-Aleut Language
Bibliographic record
Abstract
This book presents a study of the development of time reference in young children acquiring Inuktitut as a first language. The first such study of an Eskimo-Aleut language, its account of children's development of time reference in a system that is fundamentally different from those found in languages previously studied makes a unique contribution to the literature on the acquisition of tense and aspect. Drawing on longitudinal spontaneous speech data from eight Inuit children between 2 and 3-and-a-half years old, this study analyzes the temporal structures, their meanings and context of use in children's communicative interactions with siblings, peers and caretakers during the early stages of language development. The comprehensive study of previously unexplored temporal phenomena and its unprecedented findings makes this book an important resource for researchers, teachers and students of child language development, especially the development of time reference. In addition, the documentation of the Inuktitut temporal system, especially as used in conversational speech, will be of interest to researchers of time reference.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 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".