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Record W2606860066 · doi:10.1017/s000842391600113x

Surveying the Canadian State: Evolution of Canadian Political Science, Politics, and Government Since 1967

2017· article· en· W2606860066 on OpenAlexaffabout
Alex Marland, Jared J. Wesley

Bibliographic record

VenueCanadian Journal of Political Science · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsUniversity of AlbertaMemorial University of Newfoundland
Fundersnot available
KeywordsPoliticsScholarshipDiversity (politics)Political scienceState (computer science)Government (linguistics)Argument (complex analysis)Comparative politicsFederalismSocial sciencePolitical economyPublic administrationSociologyLaw

Abstract

fetched live from OpenAlex

This review essay identifies major monographs about the study of government and political institutions in Canada published in English over the past 50 years. Our review is woven around a general argument that key books about Canadian political life have mirrored the evolution of the discipline in the country as a whole. For instance, important books on federalism were written at turning points in Canada's constitutional history, while the recent uptick in social diversity and political communication studies mirrors broader societal trends. Equally, greater diversity in hiring within the academy has contributed to a broadening of subject matter, perspectives, methodologies and authorship. Thus, we explore the intersection between scholarship and society, with political scientists and their books as much products of their time as they have been contributors to the evolution of the political world around them. The sources that we identify have given shape to the study and practice of Canadian domestic politics.

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)0.005
metaresearch head score (Gemma)0.015
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 score0.987
Threshold uncertainty score0.903

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0200.062
Science and technology studies0.0130.010
Scholarly communication0.0110.004
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.000

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 head0.022
GPT teacher head0.268
Teacher spread0.245 · 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

Citations4
Published2017
Admission routes2
Has abstractyes

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