Canadian Gallup Poll, May 1981, #449_2
Bibliographic record
Abstract
This Gallup poll seeks the opinions of Canadians, on both political and social issues. The questions ask opinions about political leaders and other political issues within the country. There are also questions on other topics of interest and importance to the country and government, such as banning certain types of advertisements, filling out a tax return and the type of schools handicapped children should attend. The respondents were also asked questions so that they could be grouped according to geographic variables. Topics of interest include: advertising the dangers of drinking; the approval of Ed Broadbent as NDP leader; the approval of Joe Clark as leader of the Conservative party; the approval of Trudeau as Prime Minister; banning cigarette advertisements; banning liquor advertisements; charging drunk drivers; the country that is ahead in space research; the difficulty of filling out a tax return; the effects of cutting taxes; filling out a tax return; the household member with the best political judgment; how M.P's should vote; increasing the price of alcoholic beverages; making drivers perform breath tests; taking care of the elderly; the type of help received while filling out a tax return; the type of school mentally handicapped children should attend; and the type of school physically handicapped children should attend. Basic demographic variables are also included.
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 | 0.002 | 0.012 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.010 | 0.026 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.072 | 0.059 |
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".