Sleep No More in Shanghai: Disrupting Performing Arts Market
Bibliographic record
Abstract
案例描述了上海文广演艺集团（SMG Live）将浸入式戏剧《不眠之夜》成功引入上海的过程。自2016年推出以来，《不眠之夜》上海版取得了很好的市场表现和行业评价。除此之外，这种颠覆性的演艺形式也带动了“沉浸式”概念和相关产业在国内文化娱乐市场的发展。 展望未来，上海文广演艺集团总裁兼《不眠之夜》上海版制作人马晨骋还面临了很多挑战。首先是成熟内容的异地复制问题，马晨骋需要在上海之外挑选下一步拓展的区域市场，是北京、深圳还是长沙？其次，他也需要给这类业务设计更好的商业模式，结合自身优势实现文化对产业的赋能。
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.028 | 0.002 |
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".