Analisi Strategi Guru Kelas V dalam Pembelajaran IPA di Era Pandemi Covid-19 SD Gugus V Kecamatan Sibulue Kabupaten Bone
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.
Bibliographic record
Abstract
The problem in this study is to find out the learning strategies of fifth grade teachers in the era of the covid-19 pandemic in Elementary School cluster V, Sibulue District. This research is a type of descriptive qualitative research that aims to: 1) find out the strategies of fifth grade elementary school teachers in cluster V, Sibulue District, Bone Regency in learning science in the era of the covid-19 pandemic, 2). knowing the obstacles in implementing strategies in SD cluster V, Sibulue District, Bone in learning science in the era of the covid-19 pandemic. Data was collected by means of questionnaires and interviews. Data analysis techniques are data reduction, data display, conclusion drawing. The results of this study indicate that the strategies used by teachers in science learning are online and offline learning strategies. The teacher's obstacles during the implementation of learning strategies are not all students have cellphones, the quality of the internet network is weak, they do not have sufficient internet quota and there are differences in the character of each student.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 0.000 |
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 it