The conceptual model of the meaning of life based on the verses of the Holy Quran
Bibliographic record
Abstract
The purpose of this research was to explain the conceptual model of the meaning of life based on the verses of the Holy Quran and to check its validity. For this purpose, the concepts and propositions related to the meaning of life were collected from the Holy Quran by using two strategies of "lexical search" and "open reading" and using the method of qualitative analysis of the content of religious texts (Shuja'i, 2019). Was investigated. Then, to ensure their compatibility with the content of religious texts on the one hand and its application in the field of psychology on the other hand, the validity of the findings using the evaluation of experts' opinions by 8 experts by calculating the content validity index (CVI) and the content validity ratio (CVR) of the case It was investigated. After examining the Qur'anic propositions, seven components were obtained, which included: God as the origin and destination of existence, purposefulness of creation, the only way of life, the instability of this world's life, the vulnerability of this world's life, the inevitability of death and the eternal life of the hereafter. Then, the conceptual model of the meaning of life was extracted based on the Quranic verses. According to the conceptual model, this world has an origin and a destination, and all living beings are moving towards the destination. The ultimate goal of life is to reach a happy life in the afterlife, and the way to reach this goal is the only and straight path.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.011 |
| Scholarly communication | 0.004 | 0.008 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".