Notice bibliographique
Résumé
We are pleased to present this special issue in celebration of the contributions of Professor William W. Taylor, and to highlight his notable achievements in teaching and mentorship, service, inland fishery management, and international engagement.Dr. Taylor is a University Distinguished Professor in Global Fisheries Systems at Michigan State University. He joined the Department of Fisheries and Wildlife in 1980; how he grew the dynamic and diverse faculty serves as a legacy of his leadership as chair (1992-2008) and acting dean of the College of Agriculture and Natural Resources (1999-2001). Dr. Taylor possesses many leadership qualities which cultivated a remarkable career highlighted by flourishing relationships and partnerships that will influence Great Lakes science and management for many generations to come.He has had an illustrious career in Great Lakes fisheries ecology, population dynamics, governance, and management, received numerous awards, published extensively in scientific literature and has co-edited eight books, including the two editions of the seminal reference on Great Lakes fishery policy and management. Throughout his career, Dr. Taylor has been active in the American Fisheries Society, proudly serving as president of the society, the Michigan Chapter, and the North Central Division at various time points in his career. He held a U.S. Presidential appointment as a U.S. Commissioner (alternate) for the Great Lakes Fishery Commission, a U.S. Secretary of the Interior appointment to the Sport Fishing and Boating Partnership Council (which he chaired for eight years), and a gubernatorial appointment to Michigan's Aquatic Nuisance Species Coordinating Council. Dr. Taylor also served as associate director of the Michigan Sea Grant College Program, and was instrumental in the implementation of the first ever conference on global inland fisheries hosted at the Food and Agriculture Organization of the United Nations in collaboration with Michigan State University.The success of the programs and partnerships he built is owed in part to his vision, but importantly, to his kind, nurturing, caring, loyal, and honest personality. Relationships are built on trust. Dr. Taylor cares deeply about his dogs, family, students, friends, and colleagues, not necessarily in that order and we all look to him to adjust our moral compasses and help us make the best decisions. We suspect that many of the contributors to this issue owe, in one way or another, their current position in life to his strong influence!The 21 vignettes within this issue showcase highlights from Dr. Taylor's life and career and relay a number of anecdotes and stories from family, friends, students, and colleagues that underscore his caring personality, his keen skills in negotiation and delegation, and unique approach to experiential teaching and learning. While no two individuals have had identical experiences and outcomes, Dr. Taylor's steadfast belief that anything is achievable, his guidance (even when you did not seek nor recognize you were being guided) and his collaborative leadership have shaped us all.We hope readers enjoy and are inspired by these brief insights into the life of our distinguished colleague, mentor, and friend and celebrate with us his innumerous accomplishments in environmental policy and management from local to global perspectives.Thank you, Bill!Keep your rod tip up and reel, reel, reel!
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 | 0,001 | 0,011 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,003 | 0,001 |
| Communication savante | 0,007 | 0,006 |
| Science ouverte | 0,002 | 0,003 |
| Intégrité de la recherche | 0,005 | 0,006 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,512 | 0,492 |
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 ».