Bibliographic record
Abstract
In their Editorial “China's research culture” (3 September, p. [1128][1]), Y. Shi and Y. Rao describe an example of the rampant problems in China's research funding allocation, namely the selection of recipients for “megaproject grants.” I often hear stories about very expensive equipment left packed in hallways or labs for years without being used. The funding agencies often have very strict guidelines for using the funding on salaries, even though a research group's ability to hire the talent they need is often the most important factor in the success of the research program. China's funding strategy for overseas Chinese scientists is also problematic. As part of an Asia-wide trend, China has been trying to recruit talents from overseas ([ 1 ][2]). To attract established overseas Chinese researchers with advanced education from western countries, China has devoted billions of Chinese yuan to talent programs [such as the Thousand Talent program ([ 2 ][3]) recently established by the central government] that require overseas scholars to relocate to China to accept prestigious fulltime positions. However, many recipients of these awards cannot relocate because of practical and family obligations. China should focus instead on grants that fund collaborative research between overseas Chinese scholars and their peers in China. Collaborative programs are more cost-effective and more practical for those who cannot relocate. One such program is the Joint Research Fund (JRF) for Overseas Chinese Scholars and Scholars in Hong Kong and Macao, administered by the National Natural Science Foundation of China (NSFC). In 2006, a mere 0.7% of the NSFC budget was allocated to this worthy program ([ 3 ][4]). In 2008, the maximum grant was reduced from 400,000 Chinese yuan over 3 years to 200,000 Chinese yuan over 2 years ([ 4 ][5], [ 5 ][6]). By dedicating such a small budget to this program and others like it, China misses an opportunity to engage overseas Chinese scholars and benefit from their contributions to the country's research and education. 1. [↵][7]1. A. S. Huang, 2. C. Y. H. Tan , Science 329, 1471 (2010). [OpenUrl][8][Abstract/FREE Full Text][9] 2. [↵][10]Thousand Talent program [[www.1000plan.org][11] (in Chinese)]. 3. [↵][12]National Natural Science Foundation of China, Financial Statistics of NSFC in 2006 ([www.nsfc.gov.cn/english/11st/index.html][13]). 4. [↵][14]National Natural Science Foundation of China, Fund for Talented Professionals (NSFC, 2008), p. 17; [www.nsfc.gov.cn/english/06gp/pdf/2008/051.doc][15]. 5. [↵][16]National Natural Science Foundation of China, Funds for Talented Professionals (NSFC, 2007), p. 145; [www.nsfc.gov.cn/english/06gp/pdf/2007/031.pdf][17]. [1]: /lookup/doi/10.1126/science.1196916 [2]: #ref-1 [3]: #ref-2 [4]: #ref-3 [5]: #ref-4 [6]: #ref-5 [7]: #xref-ref-1-1 View reference 1 in text [8]: {openurl}?query=rft.jtitle%253DScience%26rft.stitle%253DScience%26rft.aulast%253DHuang%26rft.auinit1%253DA.%2BS.%26rft.volume%253D329%26rft.issue%253D5998%26rft.spage%253D1471%26rft.epage%253D1472%26rft.atitle%253DAchieving%2BScientific%2BEminence%2BWithin%2BAsia%26rft_id%253Dinfo%253Adoi%252F10.1126%252Fscience.1190145%26rft_id%253Dinfo%253Apmid%252F20847253%26rft.genre%253Darticle%26rft_val_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Ajournal%26ctx_ver%253DZ39.88-2004%26url_ver%253DZ39.88-2004%26url_ctx_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Actx [9]: /lookup/ijlink/YTozOntzOjQ6InBhdGgiO3M6MTQ6Ii9sb29rdXAvaWpsaW5rIjtzOjU6InF1ZXJ5IjthOjQ6e3M6ODoibGlua1R5cGUiO3M6NDoiQUJTVCI7czoxMToiam91cm5hbENvZGUiO3M6Mzoic2NpIjtzOjU6InJlc2lkIjtzOjEzOiIzMjkvNTk5OC8xNDcxIjtzOjQ6ImF0b20iO3M6MjQ6Ii9zY2kvMzMwLzYwMDUvNzU2LjEuYXRvbSI7fXM6ODoiZnJhZ21lbnQiO3M6MDoiIjt9 [10]: #xref-ref-2-1 View reference 2 in text [11]: http://www.1000plan.org [12]: #xref-ref-3-1 View reference 3 in text [13]: http://www.nsfc.gov.cn/english/11st/index.html [14]: #xref-ref-4-1 View reference 4 in text [15]: http://www.nsfc.gov.cn/english/06gp/pdf/2008/051.doc [16]: #xref-ref-5-1 View reference 5 in text [17]: http://www.nsfc.gov.cn/english/06gp/pdf/2007/031.pdf
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 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 | 0.017 | 0.027 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.008 | 0.007 |
| Open science | 0.003 | 0.016 |
| Research integrity | 0.005 | 0.006 |
| Insufficient payload (model declined to judge) | 0.111 | 0.018 |
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".