Thoughtworks: The Dilemma of Acquiring Agile Innovation Talents
Bibliographic record
Abstract
Thoughtworks 是一家全球性的高端软件定制和技术咨询公司，倡导敏捷软件开发流程，提倡“多元、公平、包容”的价值观。在日常软件开发和技术服务过程中，Thoughtworks强调采用敏捷创新交付模式和“跨职能全功能”团队，因此格外关注创新人才的获取。然而，2015年之后， 在与头部互联网技术型企业和技术咨询公司的人才争夺战中，Thoughtworks难以招聘到技术能力和综合素质俱佳的人才。在“增加薪水让职位更有吸引力”和“降低标准招聘第二梯队人才”两个常规选择面前，Thoughtworks公司另辟蹊径，于2018年正式推出了创新人才招聘和培训项目——“SuperX 探路者计划”（简称“SuperX”）——专注从非计算机毕业生中选拔通用能力强的候选人，并通过后续长达3个月的培训，帮助他们学会计算机技能。 过去3年，Thoughtworks招聘到多位优秀大学毕业生，增强了团队的多元性；且他们的试用期通过率达到85%，拓展了职业选择边界。但是，相比其他计算机专业毕业的员工，SuperX员工在一年后的绩效表现并非更好。 2022年年初，公司开始在招聘季前进一步审视以下问题：敏捷创新到底需要怎样的人才？在技术能力和通用能力难以兼得的情况下，应当作何取舍？创新人才的选拔和培养，哪一项更值得投入？更重要的是，在这种形式下，到底是否需要按照目前的路径继续推进？专业带来的多元化对企业的创新能力到底有着怎样的影响呢？
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.005 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.013 |
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".