Peace Education Program in Hiroshima: An Artful Narrative of Transformative Experiences.
Bibliographic record
Abstract
This article is an artful narrative of my transformative experiences as a teacher educator of the Peace Education program, Oleander Initiative 2018 in Hiroshima. Hiroshima is where endless stories are told and retold by many Hibakushas, the atomic-bomb survivors in an effort to give meaning to this tragic experience. They both refigure the past and create purpose for the future. I invite readers to walk through this experience while considering the following questions: What are the stories of Hiroshima? What and how did I learn from the program? How could these experiences influence and give meaning both professionally and personally to me as a teacher educator and as a whole person? I hope this article expands understanding of peace education with respect to adult education, exploring how it can lead to transformative learning experiences and give insights into artful narrative. It reminds us to be hopeful in the challenging times.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.024 | 0.014 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.004 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".