A Guide to the Records of University President Abraham S. Fischler
Notice bibliographique
Résumé
Correspondence, legal documents, financial records, memos, reports, subject files, and clippings comprise the bulk of the records of Abraham S. Fischler, second president of Nova University and span the years 1965(1968-1992)1994. The records are divided into four main series: academic affairs, administrative affairs, student affairs, and personal affairs. This arrangement illustrates the main units of the university as well as any records that were of a personal nature to Fischler. There are over ten sub-series within the administrative affairs series. The small size of the university in its first two decades meant that practically all activities and decisions had to pass through the Office of the President. The first degree programs offered by Nova University after it opened its doors in the fall of 1968 were doctoral degrees in oceanography, physical sciences, and science education. Overcoming early financial struggles was paramount in the dealings of the University until the 1970 federation agreement with New York Institute of Technology (NYIT). The agreement included: $1.2 million for Nova to pay off outstanding debts; appointed NYIT President Alexander Schure as Chancellor of Nova University; and required a new Board of Trustees with representatives from both schools. NYIT expanded Nova’s offerings with an MBA program and undergraduate courses. The federation lasted until November 1985. One educational innovation that attributed to Nova’s success was its move into distance education, which included clusters of students at remote locations, both within and outside of the state of Florida. The early struggles with state governments and universities over Nova’s legitimacy are evident in the records. The majority of distance students were enrolled in the National Ed.D. for Educational Leaders program from the Center for the Advancement of Education, established in 1980. Nova University’s launch of distance education sites in international locations, particularly in Panama, and to a lesser extent, Colombia, and Jamaica, is extensively documented. As Nova University added programs, centers, and institutes, it also absorbed smaller local schools with faculty and specialized programs (e.g. psychology in the late 1970’s). There is significant is coverage of the Law Center’s founding in 1974 and growth into new facilities. There are also records on the founding and expansion of the University School. Originally a laboratory school, it became a private K-12 institution. The school was founded by Marilyn Segal, an early Nova graduate, faculty member, and supporter of the university. There were many affiliated entities on Nova University’s campus such as the Family Center and Leo Goodwin Institute for Cancer Research. There are records of development efforts to acquire major gifts and establish scholarships since the university’s inception. Records of early attempts to establish a traditional campus with dormitories and student life are also included. Fischler did not restrict his energies to Nova University, but was an active member of many community organizations, like United Way of Broward County, and represented Nova’s interests at local and state-level associations (e.g. Independent Colleges and Universities of Florida (ICUF)).
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 | 0,025 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,008 | 0,008 |
| Études des sciences et des technologies | 0,004 | 0,001 |
| Communication savante | 0,006 | 0,007 |
| Science ouverte | 0,001 | 0,003 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,120 | 0,126 |
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 ».