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Record W2085569009 · doi:10.5539/ass.v7n1p43

Planning Interventions as a Major Driving Force for Transforming Unitary Habitats into Multi-habitats in the Ladkrabang District of Bangkok Metropolitan Area

2010· article· en· W2085569009 on OpenAlexvenueno aff
Pastraporn Meesiri, Ranjith Perera

Bibliographic record

VenueAsian Social Science · 2010
Typearticle
Languageen
FieldEngineering
TopicUrban and Freight Transport Logistics
Canadian institutionsnot available
Fundersnot available
KeywordsPsychological interventionMetropolitan areaUnitary stateIntervention (counseling)Environmental planningBusinessUrban planningGeographyEnvironmental resource managementEconomic growthPolitical sciencePsychologyEconomicsEngineeringCivil engineering

Abstract

fetched live from OpenAlex

Planning interventions may lead to both intended and unintended results. A change of focus in planning interventions over time may lead to non-symbiotic relationships among different elements in an urban area. This paper examines the outcomes of three decades of planning interventions in an outer district of the Bangkok Metropolitan area. To corroborate the overall transformation, the paper analyzes the effects of each planning intervention during the successive planning periods. The transformation is analyzed in relation to three major factors; (1) land-use changes, (2) occupational changes, and (3) residential development. The analysis confirms that the change in focus of successive planning and development interventions is a main driving force responsible for the transformation of unitary habitats to multi-habitats in the studied urban area. Although this outcome of the planning interventions is unanticipated, this study argues that progressive change in focus can be an effective strategy to build symbiotic and pluralistic societies.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.775
Threshold uncertainty score0.505

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.037
GPT teacher head0.295
Teacher spread0.259 · 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

Citations0
Published2010
Admission routes1
Has abstractyes

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