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Record W2187216743 · doi:10.11575/sppp.v4i0.42356

Is This the End of the Tory Dynasty? The Wildrose Alliance in Alberta Politics

2017· article· en· W2187216743 on OpenAlexaffabout
Anthony M. Sayers, David Stewart

Bibliographic record

VenueRePEc: Research Papers in Economics · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicElectoral Systems and Political Participation
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsAlliancePoliticsGovernment (linguistics)ThrivingPolitical scienceCoalition governmentWelfareLawPolitical economySociologySocial science

Abstract

fetched live from OpenAlex

The Alberta Tory dynasty begun by Peter Lougheed is now 40 years old. With only four leaders across four decades, the party has managed to maintain its hold on the political imagination of Albertans. It has weathered a number of storms, from minor party assaults during the tumultuous 1980s to the Liberal threat of 1993 and the stresses associated with the global financial crisis. Now it confronts a new challenge in the form of the Wildrose Alliance led by Danielle Smith. Just as the Tories stole the centre ground from beneath Social Credit in the 1970s, the Wildrose leadership team hopes to take what was a fringe right wing party and turn it into a broad coalition capable of appealing to a large number of Albertans. What challenges do they face in repositioning the party? And how will the Tories protect their home turf? In brief, the Wildrose Alliance must modify its policies and present them in such a manner as to be able to plausibly claim that it now reflects the core values of Albertans better than the current government. For its part, the government must select a new leader capable of successfully painting Wildrose as outsiders who cannot be trusted to cleave to the values that Albertans hold dear. What are these values? Strong support for individualism, a populist view of government – including wariness of the federal government – combined with a deep commitment to a role for government in providing core programs in areas such as health care, the environment, and social welfare.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.118
Threshold uncertainty score0.311

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0170.009
Scholarly communication0.0100.002
Open science0.0010.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0080.001

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 head0.061
GPT teacher head0.388
Teacher spread0.327 · 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 designObservational
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

Citations3
Published2017
Admission routes2
Has abstractyes

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