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Record W3211336032 · doi:10.32920/ryerson.14655354.v1

AGORA 2012: The Return to Traditional Marketplace

2021· preprint· en· W3211336032 on OpenAlexaff
Winnie Lam Ho-Suen

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldSocial Sciences
TopicUrbanization and City Planning
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsArchitectureIdentity (music)BusinessOrder (exchange)MarketingLiberian dollarCommerceEconomyEconomicsGeographyFinance

Abstract

fetched live from OpenAlex

Market forms such as shopping malls and department stores have been cloned endlessly in both rural and urban areas in many countries as a successful retail model. Despite the fairly homogeneous architectural expression and internalized (isolated) environment of new market forms (cut off from the city at large), the mass production of generic markets are seen favourably, since they are cost effective and offer the high dollar-per-square-footage that developers seek and that favours a global consumer economy. Therefore, the more traditional public markets that were once an expression the local life and culture are now being replacing by the “McDonaldized” (Rizter, 2006 page 123) marketplaces. They all have a similar architectural form, type and style that have little or no linkage to the locale and, in addition, are private zones. Since the 1970s, the intensity of construction of such generic market places has been slowly overriding the authentic identity of market architecture in many regions. In order to distinguish and express the unique architectural developments and the difference in local lifestyles of different regions, it is important to maintain local identity of building that houses “historically stable programs” (Leong, 2011, p. 138) such as local market. It is also crucial to keep the marketplace public in nature where people can socialize with greater freedom. This project intends to re- capture the local identity in a specific urban marketplace as a test of how contemporary design can maintain, revitalize and reinterpret the essence of the local architecture. The site is a typical residential- commercial neighbourhood known as Li-Nong in Shanghai. It is a row house neighbourhood built in 1924 in the heart of the city. The deterioration of buildings and limited access into the neighbourhood has contributed to the decline of businesses in the neighbourhood’s commercial strip. This project attempts to revitalize the historical laneway commercial neighbourhood and make it into a pedestrianized and inviting neighbourhood where locals can still have a shopping experience that is informed by the 1924 Shanghai-nese architecture.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.632
Threshold uncertainty score0.986

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)0.0150.000

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 head0.079
GPT teacher head0.307
Teacher spread0.228 · 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.

Study designNot applicable
Domainnot available
GenreOther

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
Published2021
Admission routes1
Has abstractyes

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