Strained ties in plurinational states: Analysing the social network divide between Canada's two solitudes
Bibliographic record
Abstract
Abstract Patterns of social networks in plurinational societies remain understudied in the inter‐group contact literature. In Canada, a significant number of authors have studied political divides between Quebecers and other Canadians, but little is still known about the scope and determinants of the social disconnect between both communities. This paper provides the first quantitative measure of the social networking gap between Canada's ‘two solitudes’ using behavioural data. Our analysis mobilises the Facebook Connectedness Index (2020), which provides district‐level connectivity estimates between all active Facebook users in Canada. Results obtained via linear regression models show that population size, distance and self‐isolation patterns cannot account for the significant connectivity gap between Quebec and the rest of Canada. However, bilingualism in Quebec is positively correlated with higher inter‐regional networks, suggesting asymmetrical linguistic exchanges. These results empirically confirm decades of anecdotal accounts about the existence of a social disconnect between Canada's French‐ and English‐speaking communities.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".