Canadian Gallup Poll, October 1983, #478_4
Bibliographic record
Abstract
This Gallup poll seeks the opinions of Canadians, on predominantly political issues. The questions ask opinions about political leaders and political issues within the country and abroad. There are also questions on other topics of interest and importance to the country and government, such as alcoholism, the postal service and the sale of beer in grocery stores. The respondents were also asked questions so that they could be grouped according to geographical and social variables. Topics of interest include: acid restriction on Canadian firms; the approval of Broadbent as NDP leader; the approval of Mulroney as leader of the opposition party; the approval of Trudeau as Prime Minister; Canada-US relations under Ronald Reagan; drinking alcoholic beverages; favouring beer sales in grocery stores; favouring school choices based on language; Federal Quebec relations under Robert Bourassa; improvements in the postal service; the most important problem facing Canada; the most important provincial problems; the seriousness of alcoholism in Canada; and treating alcoholism in hospitals. 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 | 0.010 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.009 | 0.025 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.055 | 0.046 |
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".