We're All in This Together: Context, Contacts, and Social Trust in Canada
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
How do conditions of diversity and inequality affect the sense of solidarity with each other that is manifested as social trust? This article brings together the literatures on racial heterogeneity, inter‐group contact and relative deprivation to test and enrich the existing theoretical understanding of trust. It explores the effects of city and neighborhood contexts, individual experiences of inter‐group relations, and their moderating effects on social trust. Findings suggest that the influence of a city's level of ethnic/racial diversity and income inequality is conditioned by inter‐group social ties and experiences of discrimination. By considering the characteristics of neighborhoods, racial diversity of cities no longer has any significant association with trust in others. However, income inequality at the city level interacts with experiences of discrimination to undermine trust. Public policies aimed at improving social cohesion would benefit from considering the joint impact of economic and social policies that regulate resource distribution and hence shape inter‐group relations.
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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 | 0.000 | 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 | 0.000 | 0.001 |
| 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 it