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Record W2479369975 · doi:10.5749/9780816678525-005

3. Making Citizens In Magnaville

2010· book-chapter· en· W2479369975 on OpenAlexaboutno aff
Geoffrey Whitehall, Cedric Johnson

Bibliographic record

VenueUniversity of Minnesota Press eBooks · 2010
Typebook-chapter
Languageen
FieldSocial Sciences
TopicPolitical and Economic history of UK and US
Canadian institutionsnot available
Fundersnot available
KeywordsNeoliberalism (international relations)CitizenshipAgency (philosophy)RefugeeSettlement (finance)Political scienceCapital (architecture)Corporate governancePolitical economySovereigntyPublic administrationVulnerability (computing)RationalityImmigrationSociologyCivil societyLawPoliticsSocial scienceGeographyEconomics

Abstract

fetched live from OpenAlex

This chapter examines the unique terms of neoliberal sovereignty where private institutions and market rationality increasingly create the conditions for meaningful citizenship, mobility, material comfort, and security for some while excluding others. It begins by revisiting media debates over usage of the term “refugee” to describe disaster victims, suggesting that such debates revealed the inadequacy of civil rights discourse for addressing new states of vulnerability and exclusion under neoliberalism. It then looks at the “Magnaville,” a transitional residential settlement created by Canadian industrialist Frank Stronach as an effort to promote neoliberal self-governance in New Orleans in the aftermath of Hurricane Katrina. Although this charitable project addressed the immediate needs of some evacuees, its most enduring accomplishment was to advance a privatized approach to relief and reconstruction and demonstrate how philanthropy and individual agency can resolve the deep inequalities produced by global capital.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.069
Threshold uncertainty score0.136

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0120.010
Scholarly communication0.0080.005
Open science0.0010.006
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0180.003

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 head0.061
GPT teacher head0.245
Teacher spread0.184 · 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 designQualitative
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

Citations5
Published2010
Admission routes1
Has abstractyes

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Same venueUniversity of Minnesota Press eBooksSame topicPolitical and Economic history of UK and USFrench-language works237,207