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Record W4380243872 · doi:10.1515/9780773591967

14 Days

2014· book· en· W4380243872 on OpenAlexaffabout
Bruce Carson

Bibliographic record

VenueMcGill-Queen's University Press eBooks · 2014
Typebook
Languageen
FieldSocial Sciences
TopicPolitical Systems and Governance
Canadian institutionsAlberta Energy
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

A first-hand look into the back rooms of the conservative movement in Canada , 14 Days provides insights into how the recent history of the Canadian right has influenced the Conservative government over the past two decades. Bruce Carson, having worked in close proximity to many Conservative leaders, describes a series of important moments in the disintegration, re-integration, and eventual repeated electoral success of the modern Conservative Party, formed from its Progressive Conservative forebears. Carson recounts how decisions are made and communicated, how issues are managed, and policies are developed under Harper's leadership. Crucial moments in the Conservatives' rise to power - from the devastating results of the 1993 election to the growth of the Reform Party and its election as Official Opposition, through the parties' merger, leadership decisions, conventions, and elections as minority and majority governments and most recently, the Conservative Party as majority government holder in Canada - are presented from the point of view of an outspoken witness and active participant. Carson candidly shares information on the government's approaches to Afghan detainees, the Cadman and Schreiber affairs, the 2008 constitutional crisis and worldwide recession, the development of their first budget, and the determination of the tenets of Harper's approach to federalism. A rare, behind-the-scenes account of the Harper Conservatives from opposition to government, 14 Days provides a vivid portrayal of all participants and will be eagerly read by anyone interested in the government's inner circle.

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)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.871
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.017
GPT teacher head0.230
Teacher spread0.213 · 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
Published2014
Admission routes2
Has abstractyes

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