Bibliographic record
Abstract
Two sociolinguistic characteristics of Sri Lanka Malay (SLM) are atypical for a creole: a non-European, non-colonial lexifier (Vehicular Malay), and a single substrate (Sri Lanka Muslim Tamil) with which it remained in contact. The Tamil-like characteristics of present-day SLMdiffer from those often claimed to typify creoles. In particular, the SLMtense-mood-aspect system expresses Tamil categories rather than the traditional creole categories of anterior, nonpunctual and irrealis. Bakker (2000) claims 19th century SLM more closely resembled a ‘typical’ creole, and the Tamilization of SLM represents a recent process of ‘conversion’. However, present-day SLMdescends from (unrecorded) 19th century colloquial SLM, not from the written diglossic high. The Tamilized structure of SLM results more plausibly from its atypical developmental context than from recent influence.
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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) | 0.033 | 0.002 |
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; both teacher heads agree on what is shown here.
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".