Birds of a Feather? Citizenship Norms, Group Identity, and Political Participation in Western Canada
Bibliographic record
Abstract
Abstract.This paper explores how citizenship norms of duty to vote and to volunteer in one's community influence political participation, and the role of group identities in producing these norms. By showing how citizenship norms influence an array of political activities, and by drawing on social psychology literature that shows how citizenship norms are shaped by group identifications, the paper offers a more complete picture of the relationship between citizenship norms and political participation beyond traditional civic duty/federal vote models that currently dominate Canadian political research. The central argument forwarded is that not only do citizenship norms matter to political participation, but that group identities matter, too. Résumé.Cette étude explore les effets sur la participation politique des normes relatives au devoir du citoyen de voter et de contribuer à sa communauté, de même que le rôle des identités de groupe dans la production de ces normes. En montrant comment les normes de citoyenneté influencent une foule d'activités politiques et en puisant dans la littérature en psychologie sociale, qui montre comment ces normes sont formées par des identifications de groupe, cette étude aide à mieux comprendre la relation entre ces normes et la participation politique au-delà du cadre traditionnel devoir civique / vote fédéral qui domine actuellement la recherche en politique canadienne. La thèse avancée est que les normes de citoyenneté jouent effectivement un rôle important dans la participation politique, tout comme les identités de groupe.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.009 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".