Community-Based Knowledge Systems and Energy-Aware Empowerment in Breast Cancer Prevention: A Case Study from Bontang, Indonesia
Bibliographic record
Abstract
This study presents a quantitative analysis of breast cancer awareness in relation to energy and ICT infrastructure in Bontang City, Indonesia.Using a structured survey and statistical modeling, the research evaluates how access to electricity, mobile internet, and communication tools affects health knowledge dissemination.A sample of 23 participants including health cadres, survivors, and community members was assessed using Partial Least Squares Structural Equation Modeling (PLS-SEM), Chi-Square tests, and Pearson correlation to determine key factors influencing preventive behavior.Results reveal that infrastructure access, awareness engagement, and source credibility significantly enhance breast cancer knowledge dissemination, while social resistance and misinformation pose substantial barriers.The findings underscore the importance of integrated energy and health communication strategies, suggesting that reliable infrastructure is essential not only for physical well-being but also for supporting preventive healthcare education.This research contributes a replicable quantitative framework to support community-based health planning in energy-constrained regions.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".