Regional Perspectives on Canada's Charter of Rights and Freedoms: ARe–examination of Democratic Elitism
Bibliographic record
Abstract
In The Clash of Rights, Paul. M . Sniderman, Joseph Fletcher, Peter Russell and Philip Tetlock have challenged the orthodox view of “democratic elitism” and “value consensus” with respect to support for civil rights and liberties. Based on analysis of Canadian attitudes toward the 1982 Canadian Charter of Rights and Freedoms, Sniderman et al, found that support for rights claims varied more among elites than between elites and masses. They extend this finding to a hypothesis that competing political elites are prone to exploit disagreement over rights issues for purposes of partisan electoral advantage. They find that the Conservative officeholders are typically less supportive of rights claims, while New Democratic party and Parti Québécois legislators tend to be more supportive. On most issues, the Liberals are (surprise!) in between. These findings lead to conclusions such as “the issue of bilingualism is political, not social.” More generally, Sniderman and his colleagues suggest that there is broad, evenly distributed support for rights among the Canadian public, and that conflict over rights is largely attributable to partisan competition among political leaders.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.006 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.022 | 0.007 |
| Scholarly communication | 0.008 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".