Bibliographic record
Abstract
2022年3月，在 伦敦金融交易所（London Metal Exchange，简称LME）爆发了一场史诗级镍期货逼空风暴。我国不锈钢产业龙头企业青山控股作为LME镍期货的主要空头方遭受极大损失。青山控股在LME持有20万吨镍期货空单，交割期在3月。但是由于青山自身生产的是高冰镍，不满足LME的交割标准；同时，由于俄乌局势等“黑天鹅”事件，青山更加难以实现现货交割。临近交割期，镍期货价格暴涨，青山账面已浮亏80多亿元，镍期货市场也陷入无序。3月9日，LME出人意料地暂停了镍交易，同时取消了3月8号零点以前的交易，为这次伦镍逼仓事件按下了暂停键。本次事件虽然暂时告一段落，但依然给中国企业敲响了警钟。青山为何会被逼仓？期货交易有哪些风险？企业可以如何优化期货交易策略？
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.006 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.019 | 0.085 |
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; both teacher heads agree on what is shown here.
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".