Building Community-Based Climate Resilience Through MASAKLIM (Climate-Conscious Students): A Survey Study
Bibliographic record
Abstract
The problem of climate change is a significant issue that is worsening.It leads to more disasters and difficulties.These challenges will keep growing in the coming years.To mitigate the impact of climate change, individuals must be conscious of environmental preservation.This study aims to analyze MASAKLIM, an initiative focused on communication, information, and education, which aims to promote sustainable waste management and support climate resilience.The research applied a quantitative approach using survey design.The study was conducted at Sebelas Maret University and involved undergraduate and postgraduate Civics students from FKIP, UNS who took Civic ecology courses during the even semester of 2023.This research showed that MASAKLIM is a legitimate initiative undertaken by students to mitigate and adapt to the effects of climate change through two key activities: a).reducing the amount of packaging waste generated by purchasing large products or avoiding the use of disposable products, and b).reducing the use of disposable plastic shopping bags in favour of reusable alternatives.The initiative promotes environmental awareness and effective management practices.
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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 | 0.002 | 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 | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".