Bibliographic record
Abstract
Abstract Retroflexion is a well-known areal feature of South Asia. Most South Asian languages, regardless of their genetic affiliation, contrast retroflex consonants with their non-retroflex dental counterparts. However, South Asian languages differ in the phonotactic restrictions that they place on retroflex consonants. This paper presents evidence that a large number of South Asian languages have developed a co-occurrence restriction on coronal obstruents that can be described as retroflex consonant harmony. In these languages, roots containing two non-adjacent coronal stops are primarily limited to those with two dentals (T…T) or two retroflexes (Ṭ…Ṭ), while those containing a combination of dental and retroflex stops are avoided (*T…Ṭ, *Ṭ…T). Historical-comparative evidence indicates that long-distance retroflex assimilation has contributed to the development of this phonotactic pattern (T…Ṭ → Ṭ…Ṭ). In addition, the paper demonstrates that the distribution of languages with and without retroflex consonant harmony is geographic in nature, not genetic. Retroflex consonant harmony is characteristic of most languages in the northern half of the South Asian subcontinent, regardless of whether they are Indo-Aryan, Dravidian or Munda (but not Tibeto-Burman). It is not characteristic of Indo-Aryan and Dravidian languages in the south. Thus, retroflex consonant harmony constitutes an areal feature within South Asia.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".