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
While it is clear that some languages have a grammatical mass/count distinction (e.g. English), in other languages (e.g. Inuktitut) it is not so obvious. In this paper, I show that Inuttut (Labrador Inuktitut) has a subtle grammatical mass/count distinction: while number, numerals, and most quantifiers do not disambiguate between mass and count nouns, in a few places, the morphology or the semantics disambiguates between mass and count. Thus, Inuttut is not a counterexample to Doetjes (1997) or Chierchia (2010), who both argue that all languages distinguish between mass and count. I further argue against Borer (2005) who claims all nouns in all languages are underlyingly neutral, and are assigned mass interpretation by default in the absence of individuation. I show that Inuttut nouns cannot all be underlyingly neutral and/or mass by default. Keywords: mass; count; classifiers; Inuktitut; number; numerals; quantifiers
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 | 0.001 | 0.009 |
| 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