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Record W1990622931 · doi:10.1177/0042098014568070

Transnational gentrification: Globalisation and neighbourhood change in Panama’s Casco Antiguo

2015· article· en· W1990622931 on OpenAlexaff
Thomas Sigler, David Wachsmuth

Bibliographic record

VenueUrban Studies · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicUrban Planning and Governance
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsGentrificationGlobalizationEconomic geographyGentryCapital (architecture)PoliticsEconomyPolitical economyGeographySociologyPolitical scienceEconomicsEconomic growthArchaeologyLaw

Abstract

fetched live from OpenAlex

Drawing upon the case of Panama’s Casco Antiguo, this paper establishes the theoretical concept of ‘transnational gentrification’: a process of neighbourhood change both enabled by and formative of a spatially embedded transnational ‘gentry’ whose locational mobility creates new possibilities for profitable housing reinvestment in geographically disparate markets where such possibilities would not have otherwise existed. Globalisation does not just create a common political-economic structure driving urban change or a common ideology for a gentrifying cohort. In this case, it creates historically and geographically specific connections between places, which themselves can become pathways along which gentrification processes propagate, connecting local capital to international consumer demand. The case of the Casco Antiguo offers a provocative inversion of a standard critical narrative of globalisation, whereby capital is freed from national constraints and able to roam globally while people largely remain place-bound. In the Casco Antiguo, residents are transnational and property developers are local.

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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.070
Threshold uncertainty score0.140

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0070.008
Scholarly communication0.0030.003
Open science0.0000.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.206
GPT teacher head0.381
Teacher spread0.175 · 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

Citations124
Published2015
Admission routes1
Has abstractyes

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