Bibliographic record
Abstract
The “Gordon Life Science” or “GLS” Institute is the first Internet Institute in the world. Established by Prof. Dr. Kuo-Chen Chou in 2003, right after he was retired from “Pfizer Global Research and Development” in San Diego, California. There is a very interesting story for the name of Institute as elaborated below. After the “gangs of four” (including Mao Zedong's wife) was smashed and the complete failure of Mao “Cultural Revolution”, China was under the leadership of Deng Xiaoping, who took the policy of “韬光养晦”starting to open China’s door, the founder was invited by Professor Sture Forsén, the then “Chairman of Nobel Prize Committee”, to work in Chemical Center of Lund University as a Visiting Professor. It was very difficult for Swedish people to pronounce “Kuo-Chen Chou”. In order for his colleagues and friends there easier to pronounce his name, Professor Chou used “Gordon” as his name in Sweden. In 2003, about a quarter of century later, the same name was used for the Institute, meaning that Deng’s “韬光养晦” policy can stimulate a lot of great creativities.
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 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 | 0.001 |
| 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 | 0.004 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".