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
自1990年创立以来，申洲国际从一家名不见经传的服装制造厂发展成为了世界知名运动休闲品牌（如优衣库、耐克、阿迪达斯和彪马）的全球顶级的供应商。2005年在香港主板上市后，申洲国际开始了全球化的布局，先后在柬埔寨和越南投资办厂。截至2017年4月，集团的员工人数达到76,000余人，国外的员工人数占比25%以上。近些年，传统纺织服装行业竞争依然非常激烈，不少中小企业纷纷倒闭，申洲国际却凭借其纵向一体化、柔性生产和一流的质量获得世界知名品牌企业的信赖，其销售量和市场份额进一步扩大。2016年全年，申洲国际的销售额达到151亿元，净利润达到29.5亿元，销售毛利率始终保持在30%左右，而净利率保持在18%左右。 过去十年见证了申洲国际爆炸性的增长。然而，在一个消费升级的时代，申洲国际是否还能够依靠现有模式获得成功？特朗普有关重振美国制造业的言论鼓励着很多企业到美国投资办厂（如中国的福耀玻璃）。然而，挑战和机遇共存。“美国制造”的标签以及美国政府的支持固然可以为申洲国际新一轮升级带来机会，但申洲国际依然难以摆脱“传统的、劳动力密集型的加工企业”的基因所带来的束缚。一个发展中国家的企业到发达国家开设工厂也是备受争议的话题。在申洲国际未来发展的战略地图中，是否需要布局美国工厂呢？充满青春活力特色的自有品牌马威（Maxwin）和依托于3D打印技术的运动鞋面料Flyknit的生产是否能为其带来更多的发展空间呢？
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.007 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.062 | 0.216 |
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