Nominalization instead of modification
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
In Dënesųłıné, an underdocumented indigenous language of Canada, the nominalization of full, finite clauses is highly productive. As a contribution to language description as well as to the study of nominalization, I show many examples of this construction, and give evidence that they are indeed nominalizations. I also show that these nominalizations are used instead of attributive modification of a noun, i.e. instead of adjectives and relative clauses. This fact turns out to be theoretically highly significant, because, as I argue, it is a strong piece of evidence that nouns in Dënesųłıné are inherently entities (type 〈e〉). Based on Chierchia’s (1998) nominal mapping parameter, I develop a typology where nouns in some languages are mapped to type 〈e〉 and, unlike better-known type 〈e〉 languages such as Mandarin, remain of that type throughout the derivation, without ever shifting to the predicative type, 〈e,t〉. I speculate on reasons for the emergence of this kind of language, and based on Dënesųłıné, develop its major characteristics.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.002 | 0.001 |
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