Social Capital and Civic Community in Alberta
Bibliographic record
Abstract
Abstract.We investigate the nature of civic community and social capital in Alberta. We find a civic community with high levels of interpersonal trust and civic participation, that values formal political equality and direct participation, yet expresses high levels of alienation from and low levels of confidence in its governments. While exogenous variables contribute to a strong civic community, only endogenous variables can account for the comparatively higher levels of participation and trust. Using a model developed by John Brehm and Wendy Rahn, we discover a virtuous circle between trust and participation, with its roots in the agrarian, populist past of the province. Economic and social changes have helped sustain this pattern, as have politicians bent on using it to defend Alberta's exceptionalism. Résumé.Nous examinons la nature de la communauté civique et du capital social en Alberta. Nous y trouvons une communauté civique riche en confiance interpersonnelle et en participation civique et trés attachée à la fois à l'égalité politique formelle et à la participation directe. Cette communauté exprime cependant un profond sentiment d'aliénation et de méfiance à l'égard de ses gouvernements. Alors que des variables exogènes contribuent au développement d'une communauté civique vigoureuse, seules les variables endogènes peuvent expliquer les niveaux relativement élevés de participation et de confiance. En nous servant du modèle développé par John Brehm et Wendy Rahn, nous avons découvert une relation circulaire “ vertueuse ” entre la confiance et la participation, ayant des racines dans le passé agraire et populiste de la province. Les changements économiques et sociaux ont aidé à promouvoir ce modèle comme le font aussi les politiciens enclins à défendre l'exceptionalisme albertain.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".