Bibliographic record
Abstract
The Citizen Ambassador Program was initiated in 1956 when President Dwight D. Eisenhower founded “People to People.” His vast perspective as a military and governmental leader led him to believe that individual citizens reaching out in friendship to the people of other nations could make a significant contribution to world understanding. From 14–28 Aug. 1998, ASHS took part in the “People-to People Mission to China.” Our delegation was composed of six ASHS Members and two guests. Delegates were from Canada and Brazil and the United States. After meeting in Los Angeles for a final briefing, the delegation departed for Hong Kong, where we immediately boarded a flight to Beijing. Our China experience began in Beijing, then on to Hangzhou, Shanghai, Guangzhou, and Hong Kong. All of these locations are in the densely populated eastern portion of China. (China has approximately the same area as the United States, but it has 1.25 billion people compared to only 270 million in the U.S.) Our time at each location was about equally divided between professional and cultural activities. Our Chinese horticultural colleagues were enthusiastic and well-trained. As in the United States, the quality of the facilities and the equipment varied somewhat among locations. Operating funds, never sufficient for research and maintenance of facilities, commonly were supplemented by sale of horticultural products.
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 | 0.001 | 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 | 0.006 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.022 | 0.003 |
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.
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".