Memories of War: Exploring Victim-Victimizer Perspectives in Critical Content-Based Instruction in Japanese - eScholarship
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 article presents a language specialist’s content analysis of four topics related to the memory of World War II. The purpose of the analysis is to develop critical content-based instruction (CBI) in an advanced Japanese language course that will be implemented at a Canadian university. These specific topics are: Atomic bombs (A-bombs) in Hiroshima and Nagasaki, Canada’s involvement in the development of the A-bombs, the accident at the Fukushima Daiichi Nuclear Power Plant, and representations of peace and war in language arts and history textbooks used in Japan. I identify higai and kagai [suffering from harm vs. causing harm] relations in various materials including articles, literature, textbooks, and films, while demonstrating how these victim-offender relations reflect complex international and domestic relations of power rather than a simple binary. Such intellectual engagement will enable learners to gain multiple perspectives for ethical understandings of historical events in the target and in their own societies. Some examples of materials and activities are presented.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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