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Record W4382938373 · doi:10.32502/arsir.v7i1.5269

Evaluasi Pasar Tradisional: Studi Kasus Pasar Rakyat Krueng Mane

2023· article· id· W4382938373 on OpenAlexaff
Yenny Novianti, Nur Aini, Effan Fahrizal

Bibliographic record

VenueArsir · 2023
Typearticle
Languageid
FieldSocial Sciences
TopicCommunity-based Tourism Development and Sustainability
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

The Krueng Mane People's Market is one of the traditional markets built by the government. Traditional markets are part of the economic facilities and infrastructure in Indonesia. However, its existence is increasingly being eroded by the modern market and the less than optimal use. The government has launched a Market Revitalization Program, but many have failed. The purpose of this study was to determine the use and design criteria of the functional aspects of standard elements of space, accessibility, zoning and facilities. This study uses an evaluation method with a qualitative descriptive elaboration. In collecting data, the method used is place centered mapping on field observations, surveys using questionnaires and interviews. The results of the study indicate that the aspects studied have not been effective for use by traders and buyers during their inhabited period. Therefore, it is suggested that the design criteria are the size of the trading room based on the standard, the width of the circulation does not vary in the sense that it must comply with the standard, the zoning should be given a clear marker and the facilities for the market must be provided again so that the market that has been built can be used optimally in the future.

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)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.132
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0030.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.002

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 head0.053
GPT teacher head0.343
Teacher spread0.289 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations2
Published2023
Admission routes1
Has abstractyes

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