Upaya Peningkatan Kesadaran Masyarakat Melalui Sosialisasi Keselamatan Berlalu Lintas dan Tertib Parkir di Kabupaten Bombana
Bibliographic record
Abstract
The development of transportation grow, thus affecting the motorized vehicles number, especially motorbikes. This has consequences, namely traffic accidents. This provides encouragement for many parties to continue to socialize community service activities in order to encourage increased awareness of drivers in orderly traffic and also orderly parking of vehicles. The implementation of this traffic safety and orderly parking socialization activity was carried out for four days (February 10-13, 2025) in Bombana Regency with 80 service users who received socialization in the form of brochures and flyers by the socialization team. The results of the socialization evaluation obtained through the distribution of questionnaires showed that there was an increase in understanding of service users by 55.4% after socialization event, which indicates the effectiveness of understanding the contents of the material in encouraging increased understanding and awareness in safe, comfortable, safe traffic and obeying traffic rules.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.024 | 0.005 |
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".