Bibliographic record
Abstract
Abstract This study traces the diachronic trajectory and synchronic behavior of English-origin items in Quebec French over a real-time period of 61 years. We test three standard assumptions about such foreign incorporations: (1) they increase in frequency; (2) they originate as code-switches and are gradually integrated into recipient-language grammar; and (3) the processes underlying code-switching and borrowing are the same. Results do not support the assumptions. Few other-language items persist, let alone increase. Linguistic integration is abrupt, not gradual. Speakers consistently distinguish lone other-language items from multiword fragments on each of five linguistic diagnostics tested. They borrow the former, and code-switch the latter. Code-switches are not converted into borrowings; instead the decision to code-switch or borrow is made at the moment the other-language item is accessed. We explore the implications of these findings for understanding the processes by which other-language incorporations achieve the status of native items and their consequences for theories of code-switching and borrowing.
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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 | 0.007 | 0.025 |
| 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 | 0.034 |
| Scholarly communication | 0.004 | 0.011 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".