Bibliographic record
Abstract
This paper argues that linguistic hierarchies are not real in any linguistic sense but are summaries of linguistic observation or typology. Position in any hi-erarchy is based on intrinsic properties, specjically complexity of linguistic sub-stance. To illustrate, an example involving a change in degree of ergativity across dialects of Inuktitut is discussed. A hierarchy account would only record changes in the use of case, but would not be able to probe the subtle changes in case struc-ture which are suggested by the facts. Under this view, case is not a position on a hierarchy but a syntactic construct, where different cases may have differing com-plexities (Bejar and Hall 1999). [n particular, accusative case has only a little k (or functional case), and cannot license an NP on its own, i.e., is structural. [n contrast, a structure with a little k and a minimum lexical complement can li-cense an NP, i.e., is oblique. The subtle interplay between accusative, partitive and instrumental case in different dialects is examined. It is argued that the Inuk-titut case marker MIK originates as an oblique case in western dialects, but has undergone grammaticalization in eastern dialects. Grammaticalization is seen here to be structure reduction.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".