Opinion Representation and Policy Feedback: Canada in Comparative Perspective
Bibliographic record
Abstract
Abstract. Work exploring the relationship between public opinion and public policy over time has largely been restricted to the US. However, a wider application of this line of research can provide valuable insights into whether and how representation varies across political systems. This paper takes a step in this direction using a new body of data on public opinion and government spending in Canada. Analyses reveal that the Canadian public notices and responds (thermostatically) to changes in public spending in particular domains, and also that Canadian policymakers represent these public preferences in spending. The extent and nature of public responsiveness and policy representation varies across domains. Relationships are more pronounced in certain domains, and they are more ‘specific’ in some domains and more ‘global’ in others. The findings generally accord with the results of similar work in the US and the UK, although the details differ in important ways. Indeed, the differences are strongly suggestive about the structuring role of institutions. Résumé. Les travaux portant sur la relation entre l'opinion publique et les politiques publiques se sont longtemps limités surtout aux États-Unis. Cependant, l'élargissement de cette piste de recherche peut fournir de précieuses connaissances sur les variations de la représentation au sein des systèmes politiques. Cette étude s'oriente dans cette direction en utilisant un nouveau corpus de données sur l'opinion publique et les dépenses du gouvernement au Canada. Les analyses révèlent que, dans certains domaines, la population canadienne observe les changements liés aux dépenses publiques et y réagit (de façon thermostatique) et que les décisionnaires canadiens traduisent les préférences de la population dans les dépenses. La portée et la nature de la réceptivité de la population ainsi que la représentation des politiques varient d'un domaine à l'autre. Les connexions sont plus étroites dans certains domaines, plus “ spécifiques ” dans d'autres et enfin, plus “ globales ” dans d'autres encore. En général, les résultats sont en accord avec ceux des travaux similaires menés aux États-Unis et au Royaume-Uni, malgré des différences importantes sur certains points de détail. En fait, les différences sont très évocatrices du rôle structurant des institutions.
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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 | 0.005 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.008 | 0.025 |
| Science and technology studies | 0.010 | 0.005 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.018 | 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".