The Ouellet-Robert Entomological Collection: new electronic resources and perspectives
Bibliographic record
Abstract
Abstract The Ouellet-Robert Entomological Collection (Université de Montréal, Montréal, Québec, Canada) is one of the largest and most important university collections in Canada. Although officially dedicated in 1984, much of the material in the collection dates to the 1930s and 1940s work of the Clerics of Saint Viator, Joseph Ouellet and Adrien Robert. In order to establish curatorial priorities, a collection profile was conducted grading eight criteria on a scale of 1–4, the most important being the conservation status of the specimens. A taxonomic inventory of the collection was also conducted, including the number of pinned specimens and alcohol vials, as well as a brief geographic description: whether or not at least one specimen of each species was collected in Québec or in North America. Finally, the specimen metadata for Odonata, Ephemeroptera, and Trichoptera were digitised. The inventory and specimen data can be downloaded at Canadensys.net . The collection houses approximately 1.5 million specimens, of which one-third are pinned, representing 20 000 species. Half of those species are recorded from Québec. The inventory and profile will be updated and the specimen database grown as portions of the collection are re-curated by personnel and volunteers, including the student-run organisation, “Club QMOR”.
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 | 0.008 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.016 | 0.026 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.010 | 0.006 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.135 | 0.028 |
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".