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Record W2145975724 · doi:10.1177/0042098014552767

Mutations of real estate actors’ strategies and modes of capital appropriation in contemporary Phnom Penh

2014· article· en· W2145975724 on OpenAlexaff
Gabriel Fauveaud

Bibliographic record

VenueUrban Studies · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicCambodian History and Society
Canadian institutionsUniversité de Montréal
FundersU.S. Department of Commerce
KeywordsAppropriationReal estateReal estate developmentTypologyCapital (architecture)Perspective (graphical)EstateEconomySociologyBusinessEconomic geographyEconomicsFinanceGeographyEpistemologyComputer scienceAnthropologyArchaeology

Abstract

fetched live from OpenAlex

The importance of large-scale real estate projects in Phnom Penh’s contemporary development has been stressed in recent research. However, an important part of the local real estate actors, such as small and medium developers, or the emerging elite, has been overlooked. In consequence, important aspects of the reorganisation of the urban spaces production processes after 1980 remain unknown. Using a cross typology of both real estate actors and modes of real estate capital appropriation, I underline the evolution of developer’s actions and strategies since the 1980s. I argue that local real estate actors represent the core of Phnom Penh’s transformations, and have to be studied through a socio-historical perspective. I further argue that an actor-centred approach is necessary to identify the domination structure of the real estate activity. Finally, the article stresses the emergence of new groups of interest (associations of professionals), which will certainly participate to transform power relationships in Phnom Penh’s real estate sector.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.076
Threshold uncertainty score0.485

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 studies0.0000.001
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 head0.069
GPT teacher head0.325
Teacher spread0.256 · 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 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

Citations28
Published2014
Admission routes1
Has abstractyes

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