Bibliographic record
Abstract
Language maintenance and re-creation are burning issues for many indigenous communities around the world. Child language acquisition and socialization are processes integral to understanding these issues. In order to design realistic language recreation projects, research must first address the many factors impacting the acquisition and maintenance of a language by children. This dissertation shows how different contexts, historical, environmental, interactional, relate to Kaska language socialization and acquisition. Kaska is a Northern Athabaskan language spoken in the Yukon Territory (Canada). In particular, it shows how the shift from Kaska being a language of everyday communication to one associated with authority and respect constrains children's Kaska production. To examine this shift, a combination of linguistic and ethnographic methods are used. Linguistic description identifies the grammatical structures of the target language. These are the structures that children need to acquire in order to be able to understand and speak the Kaska language. Additionally, grammatical description of adult utterances reveals that children are being exposed to a full Kaska grammar. This suggests that children may understand more Kaska than they produce. Ethnographic methods identify the social constraints on speaking the Kaska language and help establish links between interaction patterns and ideological constructs. They reveal that language choice is related to a speaker's age and social position. Older interlocutors may choose to speak Kaska while younger interlocutors typically choose English. Children have incorporated this pattern into their playgroups. By producing a Kaska utterance, a child may become leader of the playgroup. He or she uses Kaska to attain this social position. Speaking Kaska is also related to the concept of respect. Narratives on socialization emphasize this by instructing children on how to behave respectfully. While children are exposed to an adult Kaska grammar, they predominantly speak English. This pattern is not just the result of past assimilationist practices; it is part of Kaska language socialization.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.006 | 0.007 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".