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Record W2974908840

Fiery Joe: The Maverick Who Lit Up the West

2017· book· en· W2974908840 on OpenAlexaboutno aff
Kathleen Carlisle, Roy J. Romanow

Bibliographic record

Venuenot available
Typebook
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsCharismaGovernment (linguistics)SocialismMultitudeRural electrificationPolitical scienceSociologyEconomic historyManagementArtArt historyPublic administrationLawHistoryEngineeringElectrificationPoliticsPhilosophyEconomicsCommunismElectricity
DOInot available

Abstract

fetched live from OpenAlex

Substantial and significant....engaging. - James Naylor, author of The Fate of Labour Socialism As one of the architects of Saskatchewan's socialist revolution, Joseph Lee Phelps earned both respect and disdain from his peers. Colourful and charismatic, he virtually lit up the province as a Minister in the Douglas government, not only by establishing the groundwork for rural electrification, but also by igniting a multitude of entrepreneurial experiments. A man ahead of his time, Phelps spoke on behalf of women's issues, the environment, and advocated for First Nations rights. But his unrelenting push for change alienated many and Phelps had only one term in government. He was not asked to run again. Fiery celebrates the achievements of a remarkable man whose energy drive for innovation ultimately outstripped the system he wished to change. Joe Phelp's contribution to building Saskatchewan and Canada in an important demonstration of what big dreams can achieve. - Roy J. Romanow, former Premier of Saskatchewan.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.628
Threshold uncertainty score0.740

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0140.003
Scholarly communication0.0070.006
Open science0.0010.003
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0680.023

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 head0.247
Teacher spread0.226 · 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 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
Published2017
Admission routes1
Has abstractyes

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