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Community-based behaviour towards Affordances in Conservation of Hanoi Old Quarter in the Vietnam context

2020· article· en· W3102849408 on OpenAlexaboutno aff
Ngo Minh Hung

Bibliographic record

VenueIOP Conference Series Materials Science and Engineering · 2020
Typearticle
Languageen
FieldEnvironmental Science
TopicUrban Planning and Valuation
Canadian institutionsnot available
Fundersnot available
KeywordsAffordanceQuarter (Canadian coin)TerminologyArchitectureContext (archaeology)DowntownToiletArchitectural engineeringComputer scienceGeographyEngineeringArchaeologyHuman–computer interactionLinguistics

Abstract

fetched live from OpenAlex

Abstract The 36 Old Street Quarter is a downtown area of Hanoi City, which has over 1000 years old and contains such traces of history and architecture. The grid structure gives it a significant character that is a part of the local heritage facing phenomenon of replacing settings of ancient spaces, stoning the streets and concretizing old buildings due to anti-conservative interplay from its users. Therefore, this paper examines the user’s behaviour in optimizing different settings of Hanoi Old Quarter (HOQ) towards conservation efforts. Theoretically, the research was conducted by making use of ‘affordances’ terminology of Gibson (1986/1979) to understand interactions between the spatial settings and its user. Methodologically, the purposeful method of local people and layout-based sketch of the blocks, and analysed images of outdoor and shared places have been employed for three survey sites respectively. The results of community-based behaviours, its patterns and ‘verb-ability’ are fundamental factor to develop ground-up programs on urban and architectural conservation in the Vietnam’s contextualisation.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.671
Threshold uncertainty score0.298

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.044
GPT teacher head0.238
Teacher spread0.194 · 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 designBench or experimental
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
Published2020
Admission routes1
Has abstractyes

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