Integrating cinema: uncovering the film librarianship of William J. Sloan at the New York Public Library
Bibliographic record
Abstract
This thesis explores the career of William J. Sloan, the first Supervising Film Librarian for The New York Public Library, who worked at the institution from 1958 to 1980. The objective is to demonstrate how Sloan ensured The New York Public Library remain relevant to future generations through expansion of its moving image media collection and activities. This has been accomplished by examining Sloan’s concerted efforts to promote moving image media as a film librarian, educator, and programmer during his time at The New York Public Library, as well as influential media projects he completed there. By showing that Sloan expanded the moving image media collection of The New York Public Library through his work in a number of fields, this thesis highlights Sloan’s lasting influence on the Library and New York film community today, as well as his role in establishing the Reserve Film and Video Collection.
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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 | 0.004 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.009 | 0.009 |
| Scholarly communication | 0.013 | 0.008 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".