Notice bibliographique
Résumé
Although the biological lore of Arctic Alaska had many early contributors, our biological knowledge of the North Slope grew exponentially after 1947, when the U.S. Naval Arctic Research Laboratory (NARL) was established at a navy base just north of Barrow, Alaska.Among the many distinguished scientists who have since studied the biota of the North Slope of Alaska, none has contributed more to our understanding of the distribution, abundance, and behavior of terrestrial mammals and birds than Frank A. Pitelka.During the 1950s, 60s, and 70s, he not only led major research projects of his own but also recruited a substantial coterie of graduate students and post-doctoral fellows to work in Arctic tundra.Born on 27 March 1916 and raised in Berwyn, Illinois, a suburb of Chicago, Pitelka came from a family of Czech immigrants and spoke Czech at every opportunity throughout his life.His development as a biologist began in elementary school, when he began to take bird walks with his teacher.As his interests in birds gathered momentum during high school, he found a mentor in Mrs. Nellie J. Baroody, who was active in the Illinois Audubon Society.Upon graduation he wanted to go university to begin his formal training as a biologist, but the Great Depression and the need to earn money stood in his way.While employed at General Electric, he managed to take courses at a local two-year college (Morton Junior College in Cicero, Illinois) and finally entered the University of Illinois at Urbana-Champaign in 1937, at age 21.Because he was an older, dedicated student who had already begun publishing his observations on birds, he soon caught the attention of two eminent ecologists then at Illinois, Victor E. Shelford and S. Charles Kendeigh.He became Kendeigh's research assistant and continued to publish papers.As a result of these activities, he shared an office with graduate students, one of whom was no less than Eugene Odum, a PhD student of Kendeigh at that time.After graduation in 1939 (summa cum laude with a double major in zoology and chemistry), Pitelka arranged to start a doctoral program at the University of California at Berkeley with another prominent ecologist, Joseph Grinnell, the founding director of the Museum of Vertebrate Zoology (MVZ).Unfortunately, Grinnell unexpectedly died of a heart attack, so Pitelka needed to find another sponsor, and he became the student of Alden Miller, a prominent ornithologist and the new director of MVZ.Under Miller's guidance, Pitelka's interests took a turn toward evolution and systematics.During World War II, presumably because of a medical deferment from military service, Pitelka continued his doctoral work on jays in the genus Aphelocoma.He published a series of papers and received his PhD in 1946.His work on jays culminated in a monograph published by the University of California.His publication record shows that he continued his interest in ecology and behavior,
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 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,001 | 0,002 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,031 | 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 ».