Expanding the Transmission/Diffusion Dichotomy: Evidence from Canada
Bibliographic record
Abstract
We present analyses of linguistic features undergoing change in South Eastern Ontario, Canada: stative possession, deontic modality, intensifiers, and quotatives. The largest urban center of the country (Toronto) and three towns outside the city are analyzed from the comparative sociolinguistic perspective. Parallel frequency and constraints are found in changes with a time depth of 200 years or more, corroborating the parallel transmission of complex systems over time and space. However, changes that began more recently show marked differences across communities. While the youngest generations in the small towns have appropriated the incoming forms, the accompanying suite of functional constraints found in the urban center is absent. This confirms that diffusing changes do not perfectly replicate the model system. There is, however, notable divergence within patterns of diffusion. The expanding changes exhibit varying configurations, depending on the community, its founders, and the stage of development of the change. The results suggest that increasingly complex contact situations will continue to expand the possible outcomes of diffusion.
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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 | 0.004 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.015 |
| Science and technology studies | 0.014 | 0.007 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.002 | 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".