Alexander Schure, Chancellor Nova University, 1970-1985
Bibliographic record
Abstract
Alex Schure founded New York Institute of Technology in New York City in 1955 and served as its President until 1982. He established today's NYIT campuses in Manhattan at Columbus Circle - Lincoln Center and in the 1960s, in Old Westbury, along Long Island's Gold Coast. Among Schure's other significant accomplishments was the creation of NYIT's Computer Graphics Laboratory in 1974. This facility led to some of the first breakthroughs in the field of computer graphics. In 1975, Schure directed the first computer-animated feature film, Tubby the Tuba, alongside Pixar co-founders Ed Catmull and Alvy Ray Smith, who worked at the NYIT lab. In 1977, Schure also helped launch NYIT's College of Osteopathic Medicine, the first osteopathic medical school in New York and the only medical school in Nassau County. He served as Chancellor of Nova University in Ft. Lauderdale, Florida from 1971-1980. After stepping down as NYIT president in 1982, Schure served as the school's chancellor until 1991. In 2001, Schure became President of the New York College for Wholistic Health, Education, and Research in Syosset, N.Y.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.081 | 0.033 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".