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Record W2138584630 · doi:10.5539/ass.v10n15p283

The Contribution of Cooperative Law to Economic Development in Malaysia

2014· article· en· W2138584630 on OpenAlexvenueno aff
Nazura Abdul Manap, Pardis Moslemzadeh Tehrani

Bibliographic record

VenueAsian Social Science · 2014
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicIslamic Finance and Banking Studies
Canadian institutionsnot available
FundersUniversiti Kebangsaan Malaysia
KeywordsGovernment (linguistics)Function (biology)BusinessEconomic growthAgricultureBoosting (machine learning)Economic systemEconomics

Abstract

fetched live from OpenAlex

Since the cooperative movement was first introduced in Malaysia approximately eighty five years ago, there is no doubt that it has had a positive impact on Malaysia’s economic development. The characteristic of being community-centered and catering to those most vulnerable to economic vagaries has rendered cooperatives as valuable institutions in promoting agricultural development and trade, the creation of employment opportunities and in advancing the social and economic positions of societies in general. This paper evaluates the policies of cooperatives and their programs and performances in boosting the economy of Malaysia as well as investigates the function of cooperative societies in the growth of economic development. It concludes by stating that to be effective and successful, cooperative institutions must adhere to the principles and precepts provided for by the government as in the Cooperatives Societies Act 1993.

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)0.004
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.017
Threshold uncertainty score0.068

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0030.013
Scholarly communication0.0070.004
Open science0.0010.005
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.007
GPT teacher head0.227
Teacher spread0.220 · 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 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

Citations8
Published2014
Admission routes1
Has abstractyes

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