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Record W3133450859 · doi:10.1177/0968533221993504

After He Jianku: China's biotechnology regulation reforms

2021· article· en· W3133450859 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueMedical Law International · 2021
Typearticle
Languageen
FieldMedicine
TopicBiomedical Ethics and Regulation
Canadian institutionsMcGill University
Fundersnot available
KeywordsChinaLegislaturePolitical scienceBioethicsChristian ministryCorporate governancePublic administrationBiotechnologySociologyLawManagementBiologyEconomics

Abstract

fetched live from OpenAlex

The unveiling of the world’s first gene-edited twins by biophysics researcher He Jiankui generated much discussion about Chinese legal and ethical frameworks for biotechnology. In response, the highest Chinese legislative body, the National People’s Congress, and the two responsible departments for biotechnology, the Ministry of Science and Technology and the National Health Committee, have undertaken a seemingly far-reaching regulatory reform. The most salient step of this reform is to regulate genetic research and human embryo research in the Chinese Civil Code. This article overviews recent policy developments in China and their respective importance for promoting a governance framework for biomedical research that meets the expectations of the international community. However, this regulatory reform could also set stricter administrative procedures in place for Chinese institutions and their foreign partners, which may impede scientific progress. The concrete impact of this reform on the practice of Chinese scientists will need to be closely scrutinised by Chinese authorities and the international community.

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.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.923
Threshold uncertainty score0.988

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0130.000

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 head0.008
GPT teacher head0.283
Teacher spread0.275 · 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