Portraits of Canada, 2001 [Canada]
Bibliographic record
Abstract
Portraits of Canada is an annual survey of public opinion in Canada conducted by the Centre for Research and Information on Canada (CRIC). The purpose of the survey is to track how the attitudes of Canadians have evolved on a range of issues relating to the nature and well-being of the country and its citizens. The survey is now in its fourth year. The 2001 edition of the survey is more authoritative than ever because it is based on the largest sample size yet: 2,940 people . The survey's sample size has been doubled in Western Canada, and tripled in Atlantic Canada. As in previous years, two separate telephone surveys were conducted, one in Quebec and one in the rest of Canada. Environics Research Group surveyed 1,939 people in the nine provinces outside of Quebec between October 1 and October 10, 2001. CROP surveyed 1,001 people in Quebec between September 28 and October 14, 2001. The data from the two surveys were combined in order to calculate results for the whole of Canada.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.008 | 0.039 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.069 | 0.027 |
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".