The life and work of Dr. Fan Qingsheng: a pioneer in antibiotics research, agricultural microbiology, systems agriculture, and agricultural education in China
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.
Bibliographic record
Abstract
Microbes are everywhere in the Earth's biosphere-they play crucial roles in agriculture, nutrient cycling, environmental protection, and animal and human health. However, despite the importance of microbes throughout human history, their roles remain to be fully recognized. In China, one of the key scientists who led to the recognition and utilization of microbes was Dr. Fan Qingsheng (, Fig. Dr. Fan not only contributed significantly to the production of penicillin in China but also established the broad framework for the effective use of microbes to develop sustainable agriculture by increasing agricultural production, creating valuable goods from agricultural wastes, cleaning up pollutants in aquatic and soil environments, and enhancing soil fertility through organic farming. Indeed, he was a visionary both in establishing the theoretical framework of a microbecentric sustainable agriculture and in demonstrating the effectiveness of this approach through over 60 years of tireless work on a diversity of organisms across many ecological niches (Fig.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it