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Crisis and Austerity in Eight Cities: An Overview

2022· book-chapter· en· W4297132292 on OpenAlexaboutno aff
Davies Jonathan S., Ismael Blanco, Adrián Bua, Ioannis Chorianopoulos, Mercè Cortina-Oriol, Andrés Feandeiro, Niamh Gaynor, Brendan Gleeson, Steven Griggs, Pierre Hamel, Hayley Henderson, David Howarth, Roger Keil, Madeleine Pill, Yunailis Salazar, Helen Sullivan

Bibliographic record

VenuePolicy Press eBooks · 2022
Typebook-chapter
Languageen
FieldSocial Sciences
TopicPolitical and Economic history of UK and US
Canadian institutionsnot available
Fundersnot available
KeywordsAusterityPolitical scienceHistoryGeographyLawPolitics

Abstract

fetched live from OpenAlex

Chapter 1 focuses on how the eight cities encountered, worked with and against austerity in the period after the GEC. It begins by providing a flavour of the histories and traditions which contribute to explaining how austerity was experienced and mediated. It then turns to a discussion of Athens, Baltimore, Dublin, Leicester and Montréal, where more-or-less harsh forms of forms of austerity were implemented in the decade after GEC. It then looks at the three cities which, in different ways, provide a contrast with the story of austerity. These are Barcelona, Melbourne and Nantes.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.836
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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.160
GPT teacher head0.351
Teacher spread0.191 · 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 designTheoretical or conceptual
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
Published2022
Admission routes1
Has abstractyes

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