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Enregistrement W1983338783 · doi:10.1080/03632415.2012.696025

Leslie Edward Whitesel

2012· article· en· W1983338783 sur OpenAlexaboutno aff
Bernard Einar Skud

Notice bibliographique

RevueFisheries · 2012
Typearticle
Langueen
DomaineEnvironmental Science
ThématiqueFish Ecology and Management Studies
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésOfficerFisheryNavyService (business)Fish <Actinopterygii>ManagementCommissionWildlifeFishingPolitical scienceBusinessLawEcology

Résumé

récupéré en direct d'OpenAlex

Ed was also fortunate to meet and marry Margaret MacLeod of Vancouver, British Columbia, in 1941. Considering that Marge's father was a federal fisheries officer, Ed was lucky to pass muster. He also passed muster when he served as an officer in the U.S. Navy in the South Pacific from 1944 to 1946. After his military service, he returned to the Salmon Commission and continued his salmon research—the highlight of which was the publication he coauthored with Robert Clutter, “Collection and Interpretation of Sockeye Salmon Scales” (IPSFC Bulletin IX). In 1955 he accepted a position in Juneau, Alaska, as a supervisory fishery management biologist with the Bureau of Sport Fisheries, U.S. Fish and Wildlife Service. After Alaska gained statehood in 1959, there was a transitional period during which federal agencies were to divest their territorial responsibilities, and Ed saw to those concerning sport fisheries. In 1961 he transferred to the regional office of the Fish and Wildlife Service in Portland, Oregon, and was involved with federal aid. He administered the Dingell/Johnson Grant and Aide Program in seven states of the Pacific Region. In 1965 Ed became the federal aid coordinator in the Midwest region of the Bureau of Commercial Fisheries in Ann Arbor, Michigan, where—along with other duties—he administered the Commercial Fisheries and Development Act (PL88-309). Under the Reorganization Plan of 1970, when Bureau of Commercial Fisheries became the National Marine Fisheries Service, the Ann Arbor staff was relocated to the northeast region in Glouscester, Massachusetts, where the federal aid program serviced 19 states from Maine to Virginia, as well as to the Great Lakes states. In 1972, Ed got back to his first love—salmon. He rejoined the U.S. Bureau of Sport Fisheries in Stockton, California, and was the service's representative on the four-agency study of the Sacramento–San Joaquin Estuary. The other participating agencies were the Bureau of Reclamation and the California Departments of Fish and Game and Water Resources. Ed designed a trawl that skimmed the surface in order to sample migrations of young salmon. He gave testimony at public hearings and counseled scientists working on the program. His role and contributions in the joint study—as well as his career-long professionalism and dedication—were recognized by the regional office when he retired in 1977 by the naming of a 40-foot research vessel after him—the Leslie Edward Whitesel. A Canadian coworker from the 1940s remembered Ed: “He always was a favorite with field crews, as he would dig right in, no matter what you were doing, and offer his perspective on how these projects contributed to the aim of the Commission. To my mind he was a fine ambassador for IPSFC.” Indeed, remarks about Ed's work ethics were echoed by others from among his countrywide contacts, and his role as an ambassador applied to all of the agencies he represented during his 40-year career. His goodwill attitude was also evident in his contributions and participation in the community and in his church. Ed is survived by his two daughters, Sally (Leo) Miedler of Maumee, Ohio, and Leslie (John) Peck of Maple City, Michigan; five grandchildren; and eight great-grandchildren. A memorial service to celebrate Ed's life was held March 24, at the Northern Lakes Community Church in Traverse City.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,003
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Autre · Signal consensuel: Autre
Score de désaccord entre enseignants0,338
Score d'incertitude au seuil0,945

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,003
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0030,001
Communication savante0,0040,002
Science ouverte0,0010,003
Intégrité de la recherche0,0010,003
Charge utile insuffisante (le modèle a refusé de juger)0,3380,188

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.

Tête enseignante Opus0,013
Tête enseignante GPT0,202
Écart entre enseignants0,190 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Devis d'étudeSans objet
Domainenon disponible
GenreAutre

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2012
Routes d'admission1
Résumé présentoui

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