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Record W2223401621

Cities Beyond Borders: Comparative and Transnational Approaches to Urban History

2015· book· en· W2223401621 on OpenAlexaboutno aff
Nicolas Kenny, Rebecca Madgin

Bibliographic record

Venuenot available
Typebook
Languageen
FieldSocial Sciences
TopicUrbanization and City Planning
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)ModernityGlobalizationWorld historyColonialismUrban historyUrban planningGlobal cityGeographySociologyHistoryEconomic historyPolitical scienceEconomyLawArchaeologyAncient history
DOInot available

Abstract

fetched live from OpenAlex

Preface Introduction: 'Every time I describe a city': urban history as comparative and transnational practice, Nicolas Kenny and Rebecca Madgin. Part I: The seven Cs: reflections on writing a global history of urban segregation, Carl H. Nightingale Port cities in crisis: considering urban governance, modernity and migration in mid-19th-century Montreal and Liverpool in a transnational context, Dan Horner Choreographies of urban life: mapping the social history of cities, Jordan Stanger-Ross Rebuilding the cities destroyed in the Second World War: growing possibilities for comparative analysis, Jeffry Diefendorf. Part II: Urban governance and prostitution in 18th-century port cities in France and England, Marion Pluskota Comparing urban reform in London and Brussels, Janet Polasky Town planning and municipal growth in late colonial Bombay: towards a transnational perspective, Nikhil Rao Whose 'urban internationale'? Intermunicipalism in Europe, c.1924-36: the value of a decentred, interpretive approach to transnational urban history, Stefan Couperus and Shane Ewen The (trans)national question: Nazi spatial and urban planning, Janet Ward. Reflections: Cities of fear: the globalization of insecurity in the age of the gated community, Harold L. Platt Reflections: putting the 'trans' into transnational urban history, Richard Rodger. Bibliography Index.

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: Other
Teacher disagreement score0.511
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 head0.254
GPT teacher head0.302
Teacher spread0.048 · 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

Citations8
Published2015
Admission routes1
Has abstractyes

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