Bibliographic record
Abstract
Abstract This paper explores children’s language socialization into kin-based peer relationships in Amdo, Tibet. I examine spontaneous interactions in one extended family to show how children link place and kinship using spatial deixis, the grammatical system that encodes context-dependent reference to location, in Amdo Tibetan. I analyze uses of spatial deixis in two interactive routines: (1) peer-group play, and (2) children’s scaffolding of infants’ roles in multiparty participation frameworks. I argue that children use their emerging deictic repertoires to ‘spatialize kinship,’ mapping kinship relations onto the immediate spaces of co-present interactions as well as the enduring places of the village’s geography. Previous studies have noted that culturally specific forms of relationality influence adults’ uses of deixis by shaping the pragmatics of interactive settings. Building on these insights, the data from Amdo demonstrate the need to consider cultural associations between place and kinship when examining the acquisition of deixis in early childhood.
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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 | 0.002 | 0.003 |
| 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 | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".