Inaugural meeting, Canadian Animal Health Laboratorians Network
Notice bibliographique
Résumé
On June 4–6, 2002, a group of scientists and managers involved in animal health laboratory work met in Ottawa. They came from laboratories at the 4 veterinary colleges, the provinces, and the Canadian Food Inspection Agency (CFIA) across Canada. They gathered to discuss reports of various diseases; new and continuing trends; and approaches for strengthening relationships to benefit animal health, the livestock industries of Canada, and human health. The meeting was organized by a volunteer steering committee following a conference call last year to which all provincial veterinarians, heads of veterinary college departments doing laboratory diagnostics, and the 4 area laboratory network directors of the CFIA were invited. This steering committee chose to use the name laboratorians (“a person who devotes himself to laboratory work, as distinguished from a clinician” (1)), so as to include veterinary and nonveterinary specialists in all disciplines relevant to animal health laboratory work. Three keynote addresses were given, and abstracts of those presentations are provided below. Dr. Elroy Mann of Health Canada covered perceived benefits of the better linking of surveillance data relating to human health, animal health, and food safety; Dr. Brian Evans, Canada's Chief Veterinary Officer, spoke on emergency preparedness; and Dr. Gary Wobeser, head of the Department of Pathology, Western College of Veterinary Medicine, discussed the often overlooked importance of the wildlife interface in diseases or disease agents that change behavior in some way and become new or emerging problems. A brief management session was held during the course of the meeting to allow discussion of such matters as strategies for veterinary and other animal health laboratorians working together; various approaches to quality assurance; and the training, recruitment, and retention of specialists. Presentations interspersed between the keynote addresses ranged from diagnostic techniques (fluorescence polarization assays), to laboratory data on various diseases (rabies, West Nile encephalitis), to important occurrences (tuberculosis in a dairy herd in Ontario, drug toxicoses), to “we are seeing this new problem, is anyone else?” (hemorrhagic enteritis and splenomegaly in farmed deer). Underlying the scientific discussions lay the main purpose of meeting; namely, to provide a forum for animal health diagnosticians and managers across the geography and various organizations of Canada, where they could make or renew contact after a half-decade hiatus during which there was no national Canadian forum for getting together other than as individual specialty groups. Following this successful inaugural meeting, and with encouragement given by attendees in their responses to a questionnaire and during a postmeeting forum to discuss the strengths and weaknesses of this year's effort, the steering committee has started to plan for next year. Current expectations are that the gathering will be an annual event, alternating between Ottawa and various regional sites, such as veterinary college campuses.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,005 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,002 | 0,001 |
| Études des sciences et des technologies | 0,007 | 0,001 |
| Communication savante | 0,004 | 0,001 |
| Science ouverte | 0,002 | 0,002 |
| Intégrité de la recherche | 0,004 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,096 | 0,017 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».