Royal Ontario Museum Fungarium (TRTC)
Bibliographic record
Abstract
The Royal Ontario Museum Fungarium (TRTC) was originally founded at the University of Toronto around 1887 under the name of “The Cryptogamic Herbarium”. The real development of the herbarium began in 1928 with the appointment of Dr. H.S. Jackson as head of the Department of Botany at the University of Toronto. Under Dr. Jackson’s leadership, later followed by Dr. R.F. Cain, and in association with their students, the Fungarium underwent a period of major expansion. Active development was continued by Dr. J.C. Krug and as a result, the herbarium has grown from about 500 collections in 1928 to its present holding estimated to be about half a million specimens. The collections and their responsibility were transferred to the Royal Ontario Museum (ROM) in June 1996. The TRTC is richest in Canadian material but has a worldwide representation. It holds many unique specimens (including approximately 1,000 Types) obtained from private herbaria, fieldwork by University of Toronto and ROM scholars, and also to some extent by local amateurs. An active exchange program with other herbaria has also added many exotic specimens to the collection, including 81 different sets of Exsiccatae from a variety of North American, European, and Asian sources. Its present holdings make TRTC one of the largest and most significant fungal repositories in North America with a wide taxonomic representation that covers all major groups of fungi and slime molds. The Royal Ontario Museum Fungarium is still active and continues to grow its collections under the direction of Dr. Jean-Marc Moncalvo.
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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.008 | 0.002 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.326 | 0.109 |
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".