Bibliographic record
Abstract
This paper discusses the properties of the ‘quite de’ construction in the Baie Sainte-Marie, Nova Scotia variety of Acadian French in examples such as le/un quite de souper ‘quite the/a supper’ which have a hyperbolic connotation. Unlike epithet nouns and other binominals of French (and Romance more generally), we argue that this Acadian French construction contains a complex DP with a unique N but an expanded left nominal periphery (cf. Giusti 2005, 2006, 2012). In order to unify its syntactic and semantic properties, we propose an analysis where [Adv quite] is a scalar Focus head (following Kayne’s 1998 treatment of scalar only), with a null M(easurement) Op(erator) (Rett 2008, 2011) in its specifier. This M-op is associated with a degree argument (i.e. N) bound by existential closure, which forces its linearization within the predicate domain (cf. Diesing 1992). Lastly, we show that de in the AF ‘quite de’ construction cannot be construed as a linker (pace den Dikken 2004, 2006) or as a P category (pace Kayne 1994), but is best analysed as a nominal functor (cf. Ihsane 2013) at the Comp-Infl interface whose role is to recategorize a referential DP into a property denoting DP.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.005 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 source (direct Gemma or distilled Codex), 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".