A variationist perspective on discourse-pragmatic change in a contact setting
Bibliographic record
Abstract
Abstract The emergence ofêtre commeas a quotative verb in Canadian French is easily construed as a case of contact-induced change by virtue of its superficial similarity to the rapidly diffusingbe likequotative (Tagliamonte & D'Arcy, 2007). We pursue the inference of contact-induced change by undertaking a quantitative analysis of French and English quotatives recorded from speakers in the bilingual city of Ottawa between 2008 and 2010. A series of real-time cross sections enables the longitudinal development of the quotative system of each language to be tracked. Analysis of the data confirms thatêtre commeis a change in progress, but not a wholesale replication of its English counterpart. Although the results do not refute the role of external causation in the emergence ofêtre comme, the available evidence suggests that an external source is neither the sole, nor even the preferred, motivation for the emergence of this innovation.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.024 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.001 | 0.004 |
| 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".