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Record W1936439656 · doi:10.5539/ass.v11n15p49

The Perception of the Muslims in Malaysia on the Belief of Afterlife

2015· article· en· W1936439656 on OpenAlexvenueno aff
Mohd Arip Kasmo, Abur Hamdi Usman, Fazilah Idris, Aminuddin Basir, Nasruddin Yunos, Siti Nur Baya Mat Yacob, Nik Yusri Musa, Khalim Zainal

Bibliographic record

VenueAsian Social Science · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Islamic Studies
Canadian institutionsnot available
Fundersnot available
KeywordsAfterlifeIslamPerceptionPsychologyDimension (graph theory)AstrologyTest (biology)Social psychologyTheologyPhilosophyMathematics

Abstract

fetched live from OpenAlex

The belief of Afterlife is one of the fundamental of Islamic belief system. The wellbeing in this world will reflectour future in the Hereafter. Knowing the level of Muslim’s perception on the Afterlife could illustrate that theMalaysian Muslims are still upholding the Islamic teachings and traditions. This paper reports on the findings ofa study on Malaysian’s Muslims perception towards the metaphysical dimension of the Islamic belief system,specifically the Afterlife. 640 respondents, males and females (aged 18 to 55 years old) participated in the study.They were randomly selected from all over Malaysia and were given a booklet of questionnaire, containingstatements about the Islamic belief system including the belief in the Afterlife. Each statement was provided withfive choices in the form of Likert type scale ranging from 1 to 5. The booklets of questionnaire were collectedand the responses were analysed using Statistical Package for the Social Sciences (SPSS) to obtain the meansresponses and also the percentages of the responses. The means differences were tested using the t-test alsoone-way ANOVA. The study discovered that Malaysian 99.4% of the respondents believed the afterlife. Only0.6% of the respondents either not sure or did not believe the afterlife.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.461
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.003
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.038
GPT teacher head0.339
Teacher spread0.301 · 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 designQualitative
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

Citations1
Published2015
Admission routes1
Has abstractyes

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