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Record W3176570928 · doi:10.1017/9781108775700.009

Council Allies and Partisan Alignments

2020· book-chapter· en· W3176570928 on OpenAlexaboutno aff
Eleonora Pasotti

Bibliographic record

VenueCambridge University Press eBooks · 2020
Typebook-chapter
Languageen
FieldSocial Sciences
TopicSocioeconomic Development in Asia
Canadian institutionsnot available
Fundersnot available
KeywordsInsiderLeft-wing politicsPolitical sciencePolitical economyReal estateDisplacement (psychology)MobilizationRight wingPublic administrationSociologyLawPolitics

Abstract

fetched live from OpenAlex

Chapter 9 focuses on protest impact. It begins by illustrating the role of partisan dealignment, with a discussion of Buenos Aires and Santiago. Cases in these cities followed different paths to mobilization, yet in both sites protest had high impact because organizers found allies at the national level. The chapter then illustrates the pivotal role of the councillor in single-member districts with two divergent cases in Toronto, in Mimico and Parkdale. These cases also illustrate the co-optation of the creative class by real-estate developers – an important lesson because signs indicate that co-optation will become more common. The chapter then examines impact under right-wing partisan alignment, an adverse setting for protesters. In Seoul, the same set of protest strategies led to success in a leftist district (in the Duriban case), yet they failed in a conservative ward (in the Myeong-dong case). The final part of the chapter continues in Seoul, illustrating the change in protest following a shift from development regime to a progressive regime: In Mullae, cultural producers resisted displacement by infiltrating institutions and obtaining support through insider lobbying.

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 score0.875
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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.067
GPT teacher head0.225
Teacher spread0.158 · 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
Published2020
Admission routes1
Has abstractyes

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