Microbial culture collections: Stanley Morris Martin, the first international conference (Ottawa 1962), and beyond
Bibliographic record
Abstract
Culture collections originated in the 19th century, but it was not until 1962 that the first international conference was held at the National Research Council in Ottawa, Canada. Microbes-like epidemics-know no borders. Collectors were concerned with public health as well as science. For the 1962 meeting, 266 scientists came from 25 countries. They recommended a special section for collections within the International Association of Microbiological Societies. By 1970, it became the World Federation of Culture Collections, which still coordinates collections worldwide. Canadian microbiologist Stanley Morris Martin (1920-2007) who had handled local arrangements for the Ottawa meeting became the inaugural president, serving from 1970 to 1976. Originally an expert on enzymes, Martin embraced his role within the international network and championed peaceful uses of microbes and the establishment of collections in developing countries. But after his retirement, he seemed to disappear. Drawing upon scientific contributions, newspapers, and interviews, this article explores the conference, its programme, challenges, and legacy. It also tracks the long-forgotten career of Stanley Martin.
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 | 0.006 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.014 | 0.008 |
| Scholarly communication | 0.012 | 0.007 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.004 | 0.008 |
| Insufficient payload (model declined to judge) | 0.020 | 0.007 |
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".