Designing a Communication Tool for Community’s Youth Awareness and Involvement in Environmental Rehabilitation towards Digital Activism
Bibliographic record
Abstract
This study explored the critical role of youth in the promotion of environmental rehabilitation. In particular, it sought to find out whether youth are aware of the environmental problems particularly the pollution of the creek located in their community and whether digital activism could motivate them to take part in the rehabilitation efforts. This creek has been polluted for many years causing flooding and other problems. Grounded in the Social and Behavior Change Communication Theory, the research was completed in four phases. In Phase 1, the findings indicated encouraging levels of awareness and willingness from youth to participate in the environmental rehabilitation efforts of the creek. Phase 2 involved designing the digital communication tool, which is the Facebook page "Uswag Bitan-ag," drawing inspiration from literature, elements of design, principles of design, and universal design principles. This tool was created for visual appeal, engagement, and inclusivity, aligning seamlessly with the identified demographic preferences and community needs. In Phase 3, the focus group discussions among selected youth demonstrated positive perceptions of the Facebook page design. Youth acknowledged the tool, noting that it would inform and engage them, with recommendations for varied content, increased post frequency, and a focus on environmental activities. Phase 4 affirmed the tool's effectiveness and design principles. Recommendations included refining balance through white space utilization and enhancing specific design elements for heightened visual impact. The comprehensive findings highlight the transformative potential of digital activism and well-designed communication tools to the youth in fostering community awareness and active participation in environmental rehabilitation initiatives, particularly for the Bitan-ag Creek.
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 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 | 0.007 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".