Bibliographic record
Abstract
Abstract Coahuitlán Totonac is spoken in Veracruz, Mexico, and has been variously ascribed to two different branches of the Totonacan family tree. While recent work has begun to bring empirical evidence to the internal structure of this family tree, there remain several important areas of disagreement, in addition to the disputed affiliation of Coahuitlán. This article informs the family tree and demonstrates that Coahuitlán belongs to the Northern branch using shared innovations and two computational methods. The comparative method seeks sets of shared innovations for evidence of subgrouping. This article presents proposed shared innovations in phonology, morphology, and lexicon, which fall into two sets, one belonging to the Sierra and Lowland branches, and the other belonging to the Northern. Coahuitlán Totonac overwhelmingly shares innovations found in Northern languages and lacks innovations found in Sierra. Two quantitative methods are also used to show that Coahuitlán groups groups closely with other Northern languages.
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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 | 0.005 | 0.123 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".