MétaCan
Menu
Back to cohort
Record W6931716353 · doi:10.5683/sp2/xn5isr

Canadian Gallup Poll, March 1992, #203_1

2019· dataset· en· W6931716353 on OpenAlexaboutno aff

Bibliographic record

VenueBorealis · 2019
Typedataset
Languageen
FieldMedicine
TopicPregnancy-related medical research
Canadian institutionsnot available
Fundersnot available
KeywordsCharterGovernment (linguistics)VotingPoliticsPublic opinionPublic policy

Abstract

fetched live from OpenAlex

This Gallup poll seeks the opinions of Canadians, on predominantly political and social issues. The questions ask opinions on environmental protection, concern for environmental problems, welfare, the NHL playoffs, Don Mazanowski's budget, Canada's native peoples, Quebec, the Academy Awards, voting behaviour, the Social charter in the Constitution, and party choices. The respondents were also asked questions so that they could be grouped according to geographic, political and social variables. Topics of interest include: concern for air quality; concern for food quality; concern for forest conservation; concern for greenhouse gas effects; concern for ozone layer depletion; concern for soil conservation; concern for water quality; Eric Lindros; government spending on welfare; team likely to win the Stanley cup; film likely to win best picture at the Academy awards; Bob Rae; Lynn McLeod; budget measure to strengthen economy; approving Quebec as a distinct society. 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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.066
Threshold uncertainty score0.221

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.013
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0100.026
Science and technology studies0.0040.001
Scholarly communication0.0050.001
Open science0.0030.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0660.048

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.

Opus teacher head0.033
GPT teacher head0.336
Teacher spread0.302 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreDataset

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".

Quick stats

Citations0
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueBorealisSame topicPregnancy-related medical researchFrench-language works237,207