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Record W3180067973 · doi:10.1080/02723638.2021.1949845

Down and out in Dhaka: understanding land financialization and displacement in austerity urbanism

2021· article· en· W3180067973 on OpenAlexafffund
Sarah Sharma

Bibliographic record

VenueUrban Geography · 2021
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHousing, Finance, and Neoliberalism
Canadian institutionsQueen's University
FundersFederation for the Humanities and Social Sciences
KeywordsFinancializationLand grabbingReal estateUrbanismEvictionAusterityCapital (architecture)Urban planningRight to the cityEconomicsEconomic growthPolitical economyPolitical scienceGeographyMarket economyArchitecturePoliticsCivil engineeringFinance

Abstract

fetched live from OpenAlex

This paper examines how high levels of eviction and displacement of the urban poor have arisen due to the financialization of land in Dhaka, Bangladesh. Focusing on the Meradia neighborhood of Dhaka, it employs a historical materialist framework to explore the ramifications of the financialization of land and resulting land grabbing. It is argued that the historical transformation of land into fictitious capital in Dhaka has led to heightened displacements and evictions of the urban poor, which have occurred largely through processes of land grabbing by land and real estate development corporations in Bangladesh. Further, it is argued that the municipal and national states play key roles in the displacement of the working poor in Dhaka by facilitating private land development, failing to enforce existing rules on land grabbing, and by having a paucity of urban housing policies and plans for the urban poor.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.050
Threshold uncertainty score0.707

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)0.0000.000

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 head0.033
GPT teacher head0.215
Teacher spread0.183 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations13
Published2021
Admission routes2
Has abstractyes

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