Bibliographic record
Abstract
Culture collections are custodians of microbial resources of vital importance to science and society. These facilities are essential in enabling contemporary and future research in basic and applied sciences, and in integrating more than 75 years of records on Canadian microbial diversity. Culture collections often carry on because of dedicated efforts of key individuals. However, they become vulnerable to loss or dismantling when individuals retire or shift research direction in response to program reorganization or loss of funding. The need for conservation of, and long-term access to, microbial resources has long been recognized, and since 1962, six workshops have been held to address concerns about their future. In 1988, a report by the Task Force on the Status of Culture Collections in Canada made several recommendations. Key among these were that (1) specialized collections of strategic importance be supported, (2) an advisory committee be established to include members from different sectors of the scientific community, (3) government agencies allow user fees to be charged for access to collections, which would then be used for operational support, (4) the Natural Sciences and Engineering Research Council of Canada expand the infrastructure program to fund culture collections, and (5) technologies for improved access to vital data on strain history and properties be developed. Follow-up meetings resulted in a recommendation that an expert committee on plant and microbial genetic resources be established under the Canadian Agricultural Research Council. Although these activities resulted in increased recognition and support for some collections, in general, the situation of Canadian collections is no better, and is probably more dire, than in 1988. A national strategy is urgently needed to ensure the long-term care of valuable microbial genetic material.
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 | 0.021 | 0.032 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.010 | 0.025 |
| Science and technology studies | 0.037 | 0.016 |
| Scholarly communication | 0.020 | 0.012 |
| Open science | 0.011 | 0.007 |
| Research integrity | 0.009 | 0.011 |
| Insufficient payload (model declined to judge) | 0.014 | 0.001 |
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".