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Record W4385866020 · doi:10.59962/9780774853217-002

Preface

2007· book-chapter· en· W4385866020 on OpenAlexaboutno aff

Bibliographic record

VenueUniversity of British Columbia Press eBooks · 2007
Typebook-chapter
Languageen
FieldSocial Sciences
TopicPolitical Systems and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsPhilosophy

Abstract

fetched live from OpenAlex

This is a book about British Columbia's party politics.In particular it is concerned with the provincial party system though the relationship to the quite different patterns of federal party competition in the province is never far from centre stage.We hope that those concerned to understand the province and its politics will find much food for thought and ammunition for argument in these pages.At the same time this book is designed to explore the workings of what might be characterized as a model of polarized two-party competition.We have chosen to do this by focusing on party activists, those individuals who populate the party organizations, give them ideological content, and choose and constrain the leadership that carries the partisan battle to the wider electorate.Because our case is a Canadian one, we are also able to discover something of the ways in which party activists simultaneously relate to different party systems operating at distinctive levels of political life.The point of federalism is to make such a politics possible but too many studies assume that nationalizing party politics is necessary to make federalism work.The political parties' activists are very much at the core of this book and we hope that we have made a contribution to understanding the men and women who stand between the politicians and the electorate.It is their commitment to democratic participation that sustains electoral politics in contemporary liberal democracies.Canadian political science has too often ignored them.By taking these grassroots politicians seriously as critical actors we can learn much about party organization and political competition.In any large-scale project there are inevitably many people who are involved but whose contributions are really only known and

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)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.446
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0050.001
Scholarly communication0.0050.002
Open science0.0010.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.5540.313

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 head0.029
GPT teacher head0.225
Teacher spread0.195 · 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.

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
Published2007
Admission routes1
Has abstractyes

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