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Record W4403584275 · doi:10.24815/pesare.v2i2.38662

Pengenalan Profesi Arsitek dan Perencana Kota melalui Kelas Hibrid Interaktif pada Masa Pandemi Covid-19 bagi Siswa SD di Banda Aceh

2024· article· en· W4403584275 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJurnal Pengabdian Sains dan Rekayasa. · 2024
Typearticle
Languageen
FieldComputer Science
TopicEdcuational Technology Systems
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsCoronavirus disease 2019 (COVID-19)Medicine

Abstract

fetched live from OpenAlex

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.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.631
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0040.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0000.001

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.

Opus teacher head0.035
GPT teacher head0.300
Teacher spread0.264 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it