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Record W4389679267 · doi:10.1515/9780889776425

Back to Blakeney

2019· book· en· W4389679267 on OpenAlexaboutno aff

Bibliographic record

VenueUniversity of Regina Press eBooks · 2019
Typebook
Languageen
FieldSocial Sciences
TopicAustralian History and Society
Canadian institutionsnot available
Fundersnot available
KeywordsArt

Abstract

fetched live from OpenAlex

Allan Blakeney believed in government as a force for good. As premier of Saskatchewan, he promoted social justice through government intervention in the economy and the welfare state. He created legal and constitutional structures that guaranteed strong human rights, and he safeguarded the integrity of the voting system to support a robust democracy. Blakeney encouraged excellence in public administration to deliver the best possible services and used taxes to help secure equality of opportunity. In Back to Blakeney, a diverse set of scholars reflects on Blakeney’s achievements, as well as his constitutional legacy—namely, the notwithstanding clause—and explores the challenges facing democracy today. “I can think of no other biographical work in this country that is so competent in its multi-faceted approach to its subject.” —David Edward Smith, author of The Constitution in a Hall of Mirrors: Canada at 150 Contributors: Michael Atkinson (University of Saskatchewan), Simone Chambers (University of California Irvine), David Coletto (Carleton University), John Courtney (University of Saskatchewan), Alex Himelfarb (University of Toronto), Russell Isinger (University of Saskatchewan), Gregory P. Marchildon (University of Toronto), David McGrane (University of Saskatchewan), Dwight Newman (University of Saskatchewan), Roy Romanow (Chancellor, University of Saskatchewan), Melanee Thomas (University of Calgary), Katherine Walker (University of British Columbia), Reg Whitaker (University of Victoria), John Whyte (University of Regina), Nelson Wiseman (University of Toronto)

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: Other · Consensus signal: Other
Teacher disagreement score0.132
Threshold uncertainty score0.829

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.045
GPT teacher head0.241
Teacher spread0.197 · 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 teacher head, not a consensus.

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

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

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