Croucher's HK$16 million Scholarships for Hong Kong Students The Croucher Foundation of Hong Kong announced this year's awards of about HK$16 million to 7 postdoctoral scientists and another 10 doctoral students to enable them to pursue their research studies abroad.
Bibliographic record
Abstract
The 17 recipients of these Croucher awards include 2 who are currently studying in universities in Hong Kong, and 13 Hong Kong students who are already doing their university degrees in the United Kingdom, United States, Canada and Germany. They were selected from about 110 applicants after a competitive review process conducted by 16 senior local and overseas scientists from various scientific disciplines. The Croucher scholarships are full scholarships, which means they cover tuition fees, maintenance allowance, airfare and allowances for attending international conferences. The awards are however only restricted to doctoral and postdoctoral levels of studies in natural sciences, technology and medicine. The maximum for a doctoral scholarship may be as high as HK$1.7 million each, while that of a postdoctoral fellowship for two years may be up to HK$880,000. Croucher Foundation Fellowships/Scholarships 2014/2015 Fellowship Full Name Subject
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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 | 0.005 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.104 | 0.024 |
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".