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Record W4384522100 · doi:10.1177/13540688231190053

Book Review: Making Gender Salient: From Gender Quota Laws to Policy

2023· article· en· W4384522100 on OpenAlexaboutno aff
Rosie Campbell

Bibliographic record

VenueParty Politics · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicGender Politics and Representation
Canadian institutionsnot available
Fundersnot available
KeywordsSalientPolitical scienceGender equalityPolicy makingLawLaw and economicsSociologyGender studiesPublic administration

Abstract

fetched live from OpenAlex

organisations.Wesley and Maksymetz's examination of regional campaign directors demonstrated the important role these individuals play, implementing national strategy and feeding information back to the central party.They make it clear that this role is an important element of an increasingly centralised campaigning.Likewise, Koop and Sayers note that local campaign managers now must manage not only their volunteers and their candidate, but also their relationship with the central party office.Although it has admirably captured many of the dimensions of diversity in contemporary Canadian politics, the volume was strangely silent on the distinctive aspects of local constituency organising and campaigning among racialised communities.Waves of immigration have rendered major Canadian cities some of the most ethnically diverse places on the globe.Canada's single-member electoral system has created significant opportunities for geographically-concentrated diasporic communities to organize politically.While the collection included some discussion of diversity among candidates, it was largely silent on the complexities and opportunities entailed in local campaigns and election administration in these diverse urban centers.For scholars, practitioners and students interested in Canadian electoral politics on the ground, Inside the Local Campaign is a welcome resource.Its range of wellresearched and highly readable chapters make it suitable for both scholarly and more general audiences.Its contributions to our understanding of local campaigning in an age of data-driven and digital politics promise to spark new interest in the local dimensions of elections in Canada and other places that hold elections using single-member systems.

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 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: none
Teacher disagreement score0.696
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.002

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 head0.109
GPT teacher head0.414
Teacher spread0.306 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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