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Record W4366824033 · doi:10.1021/cen-10113-feature1

Returning to China

2023· article· en· W4366824033 on OpenAlexaboutno aff
special to C EN Hepeng Jia

Bibliographic record

VenueC&EN Global Enterprise · 2023
Typearticle
Languageen
FieldEnvironmental Science
TopicChemistry and Chemical Engineering
Canadian institutionsnot available
Fundersnot available
KeywordsChinaGovernment (linguistics)ChemistLibrary scienceChinese academy of sciencesPrincipal (computer security)Columbia universityPolitical scienceManagementMedia studiesSociologyChemistryLaw

Abstract

fetched live from OpenAlex

Chemist Ye Juntao completed postdoctoral studies at the University of Toronto, Columbia University, and Cornell University before setting up his lab at Shanghai Jiao Tong University in July 2019 as a tenure-track associate professor. He recently received a 2023 Thieme Chemistry Journals Award , honors that go to up-and-coming young researchers in chemical synthesis and catalysis. “As a returnee scientist, I received good funding from the government and university that helped me enormously to roll out my research agenda,” says Ye, who primarily studies organic synthesis catalyzed by visible light. But, he adds, “I have to struggle for other support.” Ye is one of the thousands of scientists of Chinese origin who in recent years have returned to China after studying at top overseas research institutions. They are finding that it can be tough as principal investigators to recruit enough doctoral and master’s students to work in their labs. Returnee

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.457
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.003

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.

Opus teacher head0.002
GPT teacher head0.213
Teacher spread0.210 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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