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Record W7114798343 · doi:10.59962/9780774872201

Renegotiating the Bargain

2025· book· W7114798343 on OpenAlexaboutno aff

Bibliographic record

VenueUniversity of British Columbia Press eBooks · 2025
Typebook
Language
FieldSocial Sciences
TopicElectoral Systems and Political Participation
Canadian institutionsnot available
Fundersnot available
KeywordsPoliticsCitizen journalismDemocracyCorporate governanceFranchiseParticipatory democracyDemocratic governancePrimary election

Abstract

fetched live from OpenAlex

The franchise bargain that once divided Canadian political parties into separate spheres of authority – with members on the ground controlling personnel selection and elites at the centre dominating policy and branding decisions – has been displaced. Renegotiating the Bargain explains why parties have reformed their internal decision-making structures and shows how the new arrangement operates. Rob Currie-Wood draws on in-depth interviews with current and former party officials, party governance documents, and election financing reports to trace organizational reform within Canadian parties since the end of the twentieth century. Rank-and-file members increasingly possess the same participatory rights as long-time activists and elected officials, but the central apparatus has also acquired the capacity to regulate membership participation in key areas of policy development, leadership selection, candidate nominations, and campaigning. Renegotiating the Bargain demonstrates not only the formation of this power-sharing arrangement within parties but also how party democracy works in practice. Its findings show that parties remain meaningful sites of civic participation in Canada’s democratic life.

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)0.004
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.308
Threshold uncertainty score0.611

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0070.019
Scholarly communication0.0070.005
Open science0.0010.004
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0140.004

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 head0.027
GPT teacher head0.242
Teacher spread0.215 · 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 designTheoretical or conceptual
Domainnot available
GenreEmpirical

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
Published2025
Admission routes1
Has abstractyes

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