The complementizer C with the WH-word <i>quo</i> in a Franco-Ontarian vernacular of south-western Ontario
Bibliographic record
Abstract
In this article, we will examine the Complementizer Phrase (CP) involving the element quo in the oral expression of a small French community in the south-western tip of the province of Ontario in Canada, in an area historically known as La Petite-Côte (LPC) where French has been spoken for three centuries now. We will examine the various types of sentences in LPC that feature a CP: free relatives, partial direct questions, indirect questions and full relatives. The Complementizer in LPC can be simple or composite; it is more complex than its standard French (SF) counterpart. We will examine the various allomorphs of each one of these Complementizers. Contrary to Standard French, LPC French, like colloquial French and other French Canadian vernaculars, allows doubly filled CP. The aim of this article is to contribute to the descriptive information available about French Canadian varieties.
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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 | 0.000 | 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 | 0.007 | 0.004 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".