Shirley Dong at Schneider Electric: A Female Technical Leader’s Career at a Crossroads
Bibliographic record
Abstract
本案例主要介绍了董杏丽从工科女博士成长为施耐德电气能源自动化全球研发副总裁的过程中的关键职业抉择，并启发讨论董杏丽面向未来需要做出的下一个关键决策。 从工科女博士到研发中心负责人，尤其是在一个持续了近九年的研发项目中，董杏丽遇到了不少挫折和质疑。在一个以男性为主导的科技领域，她秉持开放和包容的心态，带领团队小步试错、快速迭代、顽强坚持，最终收获了总部的信任和项目的成功。当面临着是否接受来自总部的发展机会，去管理一个全球团队的时候，身为女性、身在中国的董杏丽面临着如何取得家庭和事业平衡的考量、如何在本土管理一个全球性团队的抉择。她凭借着真诚领导力带领一个300多人的跨文化研发团队，得到了团队信任和认可，并基于同理心顺利完成了厂区关闭计划。在全球领导者的岗位上，她也受到了其他优秀女性领导者的鼓舞，并对女性领导者的优劣势有了不断深入的总结和反思。 2021年10月，施耐德电气组织进行了一次针对高管的360度领导力评估反馈，董杏丽意识到自己在战略思维上的短板会对她的长期领导力优势产生负面影响。她犹豫着：是继续在自己擅长的领域发展，还是要跳出舒适圈主动寻求新的发展机会？同时，她也在思考：施耐德电气是否会支持自己在她并非擅长的创新领域的首次请缨呢？
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.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.004 | 0.004 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.008 | 0.008 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.006 | 0.004 |
| Insufficient payload (model declined to judge) | 0.006 | 0.120 |
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".