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Record W2123098565 · doi:10.5539/ass.v9n14p86

Small-Scale Retailers in an Island Town

2013· article· en· W2123098565 on OpenAlexvenueno aff
Sivapalan Selvadurai, Ah Choy Er, Novel Lyndon, Amriah Buang, M. J. Mohd Fuad, A. Habibah, J. Hamzah, A. M. Azima, Ahmad Junaidi, Mohd Yusof Hussein

Bibliographic record

VenueAsian Social Science · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Ethnicity, and Economy
Canadian institutionsnot available
FundersUniversiti Kebangsaan Malaysia
KeywordsBazaarCompetition (biology)Scale (ratio)BusinessSmall townTextileMarketingQualitative propertyRural areaGeographyEconomicsSocioeconomicsPolitical scienceCartography

Abstract

fetched live from OpenAlex

This paper examines the competition faced by small-scale general store and textile retailing in an island town in Malaysia. The study was carried out in Labuan Town in Labuan Island of East Malaysia. A qualitative research design was utilized, involving primarily interview data which were collected from 12 in-depth interviews with 6 sundry and general store retailers and 6 textile retailers. Content analysis was executed to analyse the narrative data. The findings reveal that large store retailing negatively impact the small traders on trade diversion, but also positively modernize their retail formats. Competition was intense for the town centre small-scale retailers who were facing multiple competitions from large retailers and bazaar retailers in the town centre, small-scale retailers from the rural areas, as well as place competition in the region. The study suggests the need for creative response of the local authority in place making and balanced development, coupled with the strategic response of small-scale retailers in cultivating local enterprise.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.014
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0060.002
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.001

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 head0.030
GPT teacher head0.290
Teacher spread0.260 · 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 source (direct Gemma or distilled Codex), 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

Citations5
Published2013
Admission routes1
Has abstractyes

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