Pengenalan Profesi Arsitek dan Perencana Kota melalui Kelas Hibrid Interaktif pada Masa Pandemi Covid-19 bagi Siswa SD di Banda Aceh
Bibliographic record
Abstract
This article reports on the design and implementation of thematic extracurricular activities for primary school students regarding the introduction of two professions : architect and urban planner. The program was carried out during the pandemic with all the limitations for direct physical interaction. This report elaborated methods for combining materials and ways to manage interactions in such situation. The combination of materials is expected to provide an introduction to the professions and introduce knowledge about the field in an interesting and age-appropriate way for children. It also act as a proxy to reach parents and schools with architectural design and urban planning issues. Implementation that combines offline and online methods is an alternative model for implementing other activities both during the pandemic and in normal situations. The results of the activity show that students and parents were very interested and actively involved. The main obstacle faced and worth anticipating in implementing similar activities is the level of familiarity with online interactions (with was new at the time) and finding mechanisms for activities to develop scientific interests at an early age, not incidentally but on a regular basis.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.034 | 0.012 |
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".