大学における教育支援の公平性の確保 : 合理的配慮を必要とする学生への支援に基づく検討
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
In Japan, based on the Act for the Eliminating Discrimination against Persons with Disabilities in 2006, all business operators have been obliged to provide reasonable accommodation from April 2024 onwards. Universities have been working to develop support systems including the physical environment, but it is difficult to share information about reasonable accommodation due to the need to protect personal information, and there is not much research on the subject. In particular many aspects of activities in the classroom are left to the judgement of the lecturers, and in Japanese language classes, which often include collaborative activities, there are many lecturers who struggle to respond to students who have difficulty participating in these activities. In this paper, based on interviews to relevant staff conducted at universities in Canada, Australia and South Korea, we will clarify that the number of students with learning disabilities and other characteristics that are not easily apparent from appearances is increasing worldwide, and that this is leading to a fundamental shift in teaching and learning. We will then consider the environment and particularly the role of lecturers necessary for creating inclusive classroom settings, using Japanese language lessons at Hokkaido University as a reference in future classroom activities.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.001 |
| 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