Uniqueness and grammatical relations in Upper Necaxa Totonac
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract The Principle of the Uniqueness of Grammatical Relations, which requires that all grammatical relations be distinguishable on morphological and/or syntactic grounds and non-repeatable in a clause, is often assumed to be a universal requirement of language and is a central tenet, explicit or implicit, of many theories of grammar. Upper Necaxa Totonac offers an apparent exception to this principle in that it has clauses with multiple objects that seem grammatically identical, yet do not appear to be adjuncts as they control agreement and are active in processes such as reciprocalization. Extensive testing of the properties of Upper Necaxa objects shows that, while a primary object can be distinguished on the basis of a single diagnostic, any remaining objects are indistinguishable and so must be treated as being governed by the same grammatical relation which is, therefore, non-unique. This data requires a reconsideration of the Uniqueness Principle as an absolute universal, and as an axiom or a necessary tenet of theories of human language.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.008 |
| 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) | 0.000 | 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 it