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Record W2134334413 · doi:10.24124/c677/2012177

Public Opinion Research Procurement in the Saskatchewan Government: Polling for the Public Good?

2013· article· en· W2134334413 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueCanadian Political Science Review · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicSociopolitical Dynamics in Nepal
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsPublic opinionPollingGovernment (linguistics)PoliticsPublic relationsRelevance (law)Public administrationPolitical scienceProcurementDemocracyBusinessLawMarketing

Abstract

fetched live from OpenAlex

Public opinion research has become a key element of both governmental policy-making and communications strategies in most democratic jurisdictions. However, there are differences among jurisdictions in how public opinion research is procured, how the results of this research are disseminated, and what contribution this research might make to the “public good”. Saskatchewan’s approach to the commissioning and publication of public opinion research raises questions about how government approaches procurement of polling and other public opinion research, how this research supports government decision-making (including agenda-setting) and communications strategies, whether or not it should have the role it does in decision-making, and what – if any – contribution polling makes to the overall good of the citizens in the province. Given the requirement of public release, how do political actors see the relevance and importance of public opinion research in policy-making?

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.022
metaresearch head score (Gemma)0.019
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Scholarly communication
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.981
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0220.019
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0030.005
Scholarly communication0.0010.001
Open science0.0030.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.222
GPT teacher head0.436
Teacher spread0.214 · 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