Usage Pattern of On-demand Type Content Prepared in the Face-to-face Classes
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
Usage pattern of on-demand type learning content as alternative materials to the face-to-face classes in engineering subjects for undergraduates was reported. The learning content was simply made by recording screen images of the video projector and the explanative voices of the teacher in the classroom during the lesson in video files. The recorded files were provided on the learning management system as the streaming content to the students who had been absent from the face-to-face class. Approximately a quarter of registered students took on-demand lessons once or twice throughout one semester. The most common reason for absence from the face-to-face class was bad health, whereas direct reasons due to COVID-19, such as side effects of the vaccine or being in close contact with an infectious disease patient, were small. These facts suggest that the necessity of providing on-demand type content should be considered from the perspective of supplementing the absence of face-to-face classes rather than correspondence to the COVID-19 situation.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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