Bibliographic record
Abstract
本案例紧接着案例A末尾的决策点介绍道，2010年，诗肯柚木的创始人——林福勤（Pok Chin Lim）与其妻子（Catherine Foo）的第二个孩子Julian Lim得偿所愿，接管了诗肯柚木的日本市场，开始了解诗肯柚木日本的员工，并在拿过交接棒的第一年就尝试改善公司管理架构。在2011年的大地震中，Julian做的员工关怀工作使他在公司树立了威望。到2017年3月，诗肯柚木日本在Julian的领导下取得了巨大的进步。在林氏家族的共同努力下，诗肯柚木在新加坡、台湾、日本和其它国际市场均获得成功。但是，这个家族企业还是面临着一些关键问题，尤其是如何将管理权和家族财富从第一代移交到第二代。
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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 | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.014 | 0.008 |
| Scholarly communication | 0.013 | 0.008 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.055 | 0.004 |
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".