Color portrait of Abraham S. Fischler, who served as the second President (1970-1992) of what was formerly known as Nova University, and his wife Shirley Fischler. In 1994, Nova University merged with Southeastern University of the Health Sciences to form Nova Southeastern University
Notice bibliographique
Résumé
Abraham S. Fischler was born in Brooklyn, New York on January 21, 1928. Over the years, he worked as a public school teacher, university professor and author before his appointment as the second President of what was referred to as Nova University of Advanced Technology in 1970. He graduated from City College of New York in 1951 with a Bachelor's degree in Social Sciences before pursuing graduate degrees. He earned a Masters in Science Education from the New York University in 1952 and a Doctor of Education degree from the Teachers College at Columbia University in 1959. His career in academia began in 1959 as an assistant professor of education at Harvard Graduate School of Education. In 1962, he moved with his family to work as an associate professor (later professor) at the University of California Berkeley. Through a colleague, he became aware of the new experiment in tertiary education taking place in Broward County, Florida and thus his future association with Nova Southeastern University began. In 1965, he was appointed the James Donn Professor of Education in charge of the science education Ph.D. program in the Behavioral Sciences Center. His appointment officially began in July 1966. He also served concurrently as Dean of Graduate Studies. In late 1969, he was appointed Executive Vice President by the Board of Trustees after the first university President Warren Winstead resigned suddenly. In September 1970, he was appointed President by the Board of Trustees. He served in this capacity for twenty-two years until his resignation in July 1992. He married his wife Shirley Balter on April 5, 1949 and they raised three children together Bruce, Michael, and Lori.
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 distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,003 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,000 | 0,002 |
| Science ouverte | 0,002 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
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 tête enseignante, 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 ».