A Guide to the Records of University President Stephen Feldman
Bibliographic record
Abstract
General Correspondence, clippings, memos, and agendas are present in the administrative records of Stephen Feldman, third president of Nova University (later known as Nova Southeastern University). The bulk of the material is from his inauguration on January 22, 1993 through his resignation on June 30, 1994. The correspondence deals with the daily activities of the University, especially with Board of Trustees and donors. Only a few letters are originals and the copies were originally bound quarterly in soft-cover binders. Clippings from local publications cover President Feldman’s arrival and departure from Nova as well as overviews on Nova University in general. There are two bound diaries that contain the daily appointments of the President. The most significant event documented in the collection is the merger of Nova University and Southeastern University of the Health Sciences which officially took place on January 1, 1994. Other events include the establishment of a recycling program, membership in the South Florida Education Center cooperative, and the opening of the Miami Dolphins Training Facility on the main campus. A significant amount of the collection concerns the planning and execution of Stephen Feldman's inauguration as President. A large binder contained the planning documents of different events associated to the inauguration; it was disassembled but dividers were kept. There is also a 3 ½ floppy disk with documents related to the inauguration.
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 | 0.005 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.152 | 0.152 |
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".