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Record W2770149644 · doi:10.3138/cpp.2017-049

Canada 150: Canadian Social Scientists and the Making of Public Policy since Confederation

2017· article· en· W2770149644 on OpenAlexaffvenueabout
Robert W. Dimand

Bibliographic record

VenueCanadian Public Policy · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsBrock University
Fundersnot available
KeywordsPoliticsPublic administrationPolitical scienceRoyal CommissionCommissionSocial policyPublic policyPolitical economySociologyLaw

Abstract

fetched live from OpenAlex

Since the 1890s, Canadian social scientists have been actively involved in the making of public policy as decision makers (both as elected officials and as senior public servants); as expert advisers (notably through Royal Commission reports and studies), at both federal and provincial levels; and as shapers of and participants in public discourse. The history of this involvement reflects the expansion and transformation of the scholarly community, as the discipline of political economy, pursued by a handful of scholars at a few universities, divided into multiple social sciences, with many more practitioners, and as close interaction with US social scientists came to displace the influence of the British political economy (e.g., Beveridge, Keynes, the Fabians) and, in Quebec, of the papal social encyclicals.

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)0.008
metaresearch head score (Gemma)0.016
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.952
Threshold uncertainty score0.671

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.016
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0060.010
Science and technology studies0.0480.041
Scholarly communication0.0190.005
Open science0.0030.005
Research integrity0.0070.008
Insufficient payload (model declined to judge)0.0130.001

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 head0.032
GPT teacher head0.283
Teacher spread0.251 · 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.

Study designQualitative
Domainnot available
GenreEmpirical

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

Citations1
Published2017
Admission routes3
Has abstractyes

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