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Record W4380233690 · doi:10.1515/9780228012108

The Age of Consequence

2022· book· en· W4380233690 on OpenAlexaboutno aff
Charles McMillan

Bibliographic record

VenueMcGill-Queen's University Press eBooks · 2022
Typebook
Languageen
FieldSocial Sciences
TopicCommonwealth, Australian Politics and Federalism
Canadian institutionsnot available
Fundersnot available
KeywordsGeography

Abstract

fetched live from OpenAlex

Since the election of Pierre Trudeau in 1968, Canada has had nine prime ministers, a series of minority governments, as many as sixteen leaders of the opposition, and a turnover of party leaders in provincial governments. This rotation shows the vibrant nature of the Canadian political system, which combines a measure of continuity and stability with change and policy innovation. The Age of Consequence provides an insider’s account of Canada’s political environment over the last fifty years. Focusing on the key personalities, leaders, and political parties of the era, Charles McMillan reveals the reality of policy change in a world in flux, bound by institutional constraints and propelled by personalities that advance or derail policy initiatives. Choosing four policy themes - economic competitiveness, social justice, national reconciliation, and constructive internationalism – the book traces Canada’s policy evolution. As a federation, Canada’s political system is shaped by policy initiatives, leadership campaigns, national elections, the planning and machinery of governance, and the strengths of its various leaders, from John Diefenbaker and Lester B. Pearson to Justin Trudeau. Based on McMillan’s personal experience as senior policy advisor to Prime Minister Brian Mulroney, as well as on interviews, policy papers, and memos, The Age of Consequence sheds light on how public policy is made, the conflicts facing senior members of the government, and the unique burdens placed on prime ministers.

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 categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.950
Threshold uncertainty score1.000

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 studies0.0030.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
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 head0.035
GPT teacher head0.264
Teacher spread0.230 · 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.

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

Citations2
Published2022
Admission routes1
Has abstractyes

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