Tomo: Friendship through Fiction: An Anthology of Japan Teen Stories. ed. by H. Thompson
Bibliographic record
Abstract
Thompson, Holly (editor). Tomo: Friendship through Fiction: An Anthology of Japan Teen Stories. Berkeley, CA: Stone Bridge Press, 2012. Print.Shortly after the Great East Japan Earthquake (and tsunami) of 11 March 2011, Holly Thompson came up with a unique idea to contribute to the recovery. The resulting anthology of prose, verse, and graphic art stories by authors and artists from around the world who share a connection to Japan will generate some financial help to support young people affected by this disaster. More importantly, it will contribute to a deeper understanding of, and connection to, what is still a surprisingly mysterious culture. Despite Japan’s status as one of the largest and most successful world-economies, despite our familiarity with sushi and karaoke and judo and samurai and multitudinous Japanese brand-names, so much of Japanese culture as it is lived on the ground and in people’s minds is a complete mystery even to experienced Japan-hands and Japanese themselves. This anthology, as a whole and above all else, highlights the mysteriousness. While each of the 36 individual stories might evoke a response like, “Really? So that’s what it’s all about” (“ahh, sō desuka”) or “Ah, now I get it!” (“ahh, naru hodo”), the effect of reading them all is more like, “hmm, there is nothing simple about Japan after all. I need to know more.” There is something for everyone, Japanophiles and those with no familiarity whatsoever. More precisely, there is something for everyone in each story. Japanese culture is wildly diverse and complicated when viewed even just through teenage and young adult eyes, as are most stories in this collection. That, I think, is the true value of this collection. It doesn’t boil Japanese-ness down to trite generalizations. It doesn’t play to the notion of a vast, homogenous culture of uniformity and a lack of individuality. It doesn’t leave the reader with a feeling of having it all summed up. If I have one minor and very personal quibble, it is perhaps too many stories with a haafu (half-Japanese) character reflecting on how tough life is when you’re not pure Japanese. Having said that, there is not one single story I could have rejected or would suggest skipping over – they are each individually poignant and insightful. I also recommend following up on the Tomo anthology website with its blog featuring contributor interviews, information about sales proceeds, and soon-to-be-added supplementary educational materials. http://tomoanthology.blogspot.ca. I should mention a few personal connections. I lived in the Tohoku region and have many friends there. Also, an excerpt from my translation of a Japanese poem appears in the anthology and an interview appears on the blog site. Be assured I would not recommend Tomo if I had any hesitations whatsoever. In fact, I was wary when first contacted as I’d just heard of a shady fund-raising scheme capitalizing on the tragedy; contact with Holly Thompson quickly allayed my concerns. My only benefits in reviewing and recommending this book are the satisfaction of increasing awareness of Japan’s fascination, making connections with interesting people, and offering a small support to the people of Tohoku. Recommended: 4 out of 4 starsReviewer: David SulzDavid is a Public Services Librarian at University of Alberta and liaison librarian to Economics, Religious Studies, and Social Work. He has university studies in Library Studies, History, Elementary Education, Japanese, and Economics; he formerly taught in schools and museums. His interests include physical activity, music, home improvements, and above all, things Japanese.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.013 | 0.003 |
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".