1 POLITICAL TRUST, VALUES, PERFORMANCE AND MEDIA: A CANADIAN PROFILE
Bibliographic record
Abstract
The citizenry in many post-industrial countries has become increasingly skeptical towards politicians and political institutions (Norris, 1999; Dalton, 2004: chap 8). In this paper we examine some of the prominent explanations cited (Dalton 2004) to account for this phenomenon namely the performance of the government, the political values of the citizens and the effects of the media. Our focus is on political institutions seen as objects of trust within the regime as defined by Easton (Easton, 1965; Norris, 1999). Is (dis)trust in institutions explained by the values, the media or the performance of the government? Are the same explanations valid across the range of objects of trust? We test our hypotheses on Canadian data which allows us both to study the relationships in detail and to control for the community as Canada is a multinational country. The data, extracted from a survey (n = 2007) of the Canadian adult population conducted in October-November 2005, are presented in multivariate models using OLS and logit.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.001 | 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".