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Record W2996984284 · doi:10.5430/rwe.v10n5p53

Mosquepreneur in Perak: Reality or Fantasy?

2019· article· en· W2996984284 on OpenAlexvenueno aff
Mohd Zul Izwan Aliyasak, Mohd Yahya Mohd Hussin, Fidlizan Muhammad, Azila Abdul Razak

Bibliographic record

VenueResearch in World Economy · 2019
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicIslamic Finance and Banking Studies
Canadian institutionsnot available
Fundersnot available
KeywordsEntrepreneurshipDemographicsSocial entrepreneurshipOrder (exchange)Descriptive statisticsWomen entrepreneursMarketingBusinessPublic relationsSociologyPolitical scienceFinanceDemography

Abstract

fetched live from OpenAlex

Social activities at the mosque are still something new in Malaysia and it has not received a lot of attention. However, there are still a few mosque institutions which have focused on social entrepreneurship activities for increasing the mosque’s income source. The questionnaires were distributed to 52 mosque chairmen and observation was done to see the potential of local social entrepreneurship activities based on factors such as the organisational profile, the mosque demographics, assets, income acceptance, social and finance business activities. The data was analysed quantitatively using descriptive analysis. The findings showed that most mosque institutions were able to raise income from entrepreneurial activities. The social activities conducted can increase the mosque income and bring benefit to the local community especially the Muslim community in general. As such, the study findings can provide inspiration and indication for other mosques to take part in social entrepreneurial activities in order to intensify the mosquepreneur efforts.

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)0.002
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.480
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.085
GPT teacher head0.340
Teacher spread0.255 · 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 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

Citations3
Published2019
Admission routes1
Has abstractyes

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