DO WE KNOW BEETLES? LESSONS FROM NEW RECORDS OF CERAMBYCIDAE (COLEOPTERA) FOR NOVA SCOTIA
Bibliographic record
Abstract
The long-horned beetles (Coleoptera: Cerambycidae) are taxonomically relatively well known in North America and can potentially serve as an important forest biomonitoring tool. For such a tool to work accurate distributional data are required. We compared the status of cerambycids for Nova Scotia based on specimens in collections with two recent compilations that include distributional information, one for Canada and one for northeastern North America. We found major discrepancies. The two compilations reported a total of 55 species, while 87 species were in the collections examined. An accurate and up to date inventory is essential. This is underscored by the recent concern for the “invasion” of the Brown Spruce Long-horn Beetle, Tetropium fuscum, in Nova Scotia that was first collected more than 10 years ago, but misidentified. Both regional and national collections need to be supported to ensure effective strategies for conservation and forest management.En Amérique du Nord, les longicornes (Coléoptères : Cérambycidés) sont assez bien connus sur le plan taxinomique et pourraient constituer un outil important dans la surveillance biologique des forêts. Pour qu’un tel outil soit efficace, il faut disposer de données précises sur la répartition des insectes. Nous avons comparé la situation des Cérambycidés de la Nouvelle-Écosse, établie à partir de spécimens de collections, à deux compilations récentes qui comprennent des données relatives à la répartition, à savoir une pour le Canada (Bousquet, 1991) et une pour le nord-est de l’Amérique du Nord (Dowie et Arnett, 1996). Nous avons découvert des différences notables. Les deux compilations font état d’un total de 55 espèces, tandis que 85 espèces ont été recensées dans les collections examinées. Il est essentiel d’effectuer un inventaire précis et à jour. Cette nécessité est soulignée par le problème récent de l’« envahissement » du longicorne brun de l’épinette (Tetropium fuscum) en Nouvelle-Écosse, qui avait été récolté pour la première fois il y a plus de 10 ans, mais mal identifié. Il faut soutenir les collections régionales et nationales pour assurer le succès des stratégies de conservation et d’aménagement des forêts.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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".