The Relationship Between Family Functioning and Religiosity on Readiness for Change Among Persons under Surveillance
Bibliographic record
Abstract
There are numerous theoretical perspectives on addiction and the behavioural change processes during the transition from addiction to recovery. Although the precise nature of the relationship between religion and family function has not been discovered, it has been highlighted as a significant component in addiction. This study examines the relationship of family functioning and religiosity on the readiness for change among Persons under Surveillance (PuS). We randomly selected respondents (n = 85) of PuS in the National Anti-Drugs Agency (NADA), Jempol District, Negeri Sembilan, Malaysia, who participated in this study. Descriptive analysis was used to identify the level of family functionality, religiosity and readiness for change. Next, Pearson correlations were used to determine the relationship of family functionality to change and religiosity to the readiness for change. Findings showed a significant correlation (p = 0.00, p <0.05) between family functioning and readiness for change and it was a low positive correlation (r = +0.47). Moreover, findings showed a significant correlation (p = 0.01, p <0.05) between religiosity and readiness to change the relationship was a weak positive correlation (r = + 0.27). In conclusion, family functioning and religiosity are related to readiness for change. This relationship is significant for PuS in NADA Jempol to implement self-care and for the divisional staff involved in NADA Jempol to develop prevention and rehabilitation strategies to prepare PuS out of the drug problem.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".