Featured Artists - Interview with Featured Artist, Diana Tso, Toronto, January, 2017
Bibliographic record
Abstract
Creative Arts Educ Ther (2017) 3(1):69–78DOI: 10.15212/CAET/2017/17/7 Featured Artists – Interview with Featured Artist, Diana Tso, Toronto, January, 2017 专访艺术家 Diana Stephen K. Levine The European Graduate School, Switzerland Abstract Diana Tso is a Chinese-Canadian writer, actor and storyteller, who recently produced her play, Comfort, in Toronto, Canada. Comfort deals with the situations of Chinese women who were forced into sexual slavery by the Japanese army during World War Two. The horrific story of these women’s experience is held by the play’s beautiful music and song, based on the Chinese opera Butterfly Lovers and sung in Chinese, and by the expressive movement of the actors. When I saw the play in December 2016, I was moved not only by the story but also by the aesthetic power of the presentation. To my mind, it gave a partial answer to the question of how we can make art out of trauma. After the performance, I went up to Diana and asked if she would be willing to talk about the play for the readers of this journal. The following dialogue is an edited version of our conversation, held in Toronto in January, 2017. Diana Tso 是一位加拿大华裔作家，演员和故事讲述者，最近在加拿大多伦多出品了她的演奏“慰安”。作品关于在二战期间被日本军队强迫性奴役的中国女性的情况。这些女性经历的可怕故事源自中国歌剧“梁祝”这一中国乐曲演员表演舞蹈，以戏剧美秒的音乐和歌曲为主。当我在2016年12月看到该戏剧时，我不仅受到故事的影响，还受到演讲的审美力量的影响。在我看来，这部分回答了我们如何通过艺术摆脱创伤的问题。 演出结束后，我找到黛安娜，问她是否愿意为这本期刊的读者讲述这个戏。以下对话是我们在2017年1月在多伦多进行的对话的编辑版本。
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| 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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 teacher head, 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".