DAMPAK PEMBELAJARAN DARING MASA PANDEMI COVID 19 (STUDI KASUS PADA ORANG TUA PESERTA DIDIK)
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
This study aims to know(i) Positif impact on learning of online pandemic COVID 19 for student parent who are working as farmers. (ii) Negatif impact on learning of online pandemic COVID 19 for student parent who are working as farmers. The research was classified as qualitative research with an case study methode. The instrument used on this study researcher becomes the key instrument. The data were collected using participants observations, interview and document studies. The data were analyzed using the Miles & Huberman model.Based on the result of data analysis in the concluded: (i) Positif impact on learning of online pandemic COVID 19 for student parent who are working as farmers is their children are able to learn online using mobile phones with various applications. (ii) Negative impact on learning of online pandemic COVID 19 for student parent who are working as farmers is the network issues, quotas, their children are as severely as pain as it is less than taking a lot of work from the teachers, their child rarely helps the parents at the house and in the garden because of learning time that is very solid.
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 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