Canadian Gallup Poll, September 1974, #368
Bibliographic record
Abstract
This Gallup poll seeks the opinions of Canadians, on both political and social issues. The questions ask opinions about the past election and political leaders in Canada; as well as American politics. Questions also touched on subjects such as the benefits of marriage; the Old Age Pension and the metric system. The respondents were also asked questions so that they could be grouped according to geographical variables. Topics of interest include: allowing abortions; the amount of money given by the Old Age Pension; the approval for lotteries; converting to the metric system; disapproval for lotteries; the effectiveness of police; the expectations of Gerald Ford as President; gaining from marriage; the government running lotteries; the involvement of churches in daily life; the loss of prestige in the United States due to Watergate; making French the sole official language in Quebec; passing Bill 22 in Quebec; the reasons for voting for a political leader; rising prices; setting maximum speed limits; wage and price controls; and who is to blame for violence in minor hockey. 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 | 0.011 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.010 | 0.020 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.055 | 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".