Supporting Academic Excellence:
Bibliographic record
Abstract
Special Collections and University Archives continues to be the primary resource for researchers from throughout the state, region, and nation for materials documenting New Jersey’s history and culture. Moreover, researchers visit and make inquiries from throughout the world regarding collections of New Jersey based operations with national and international significance such as Consumers ’ Research (the first product testing company in the world); the William Elliot Griffis Collection (documenting interaction between the United States and Japan during the last quarter of the 19 th century); the Roebling family and company papers (documenting early suspension bridge construction); and the Senator Harrison Williams Papers (Williams chaired the U.S. Senate’s Labor and Human Resources Committee and wrote most of the Great Society legislation of the 1960s and 1970s); and the nationally known Lenox Company records (begun in the 19 th century as the Ceramic Art Company). These are but a few of the collections that draw national and international researchers on many levels. Resources: Acquisition highlights include:
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 | 0.067 | 0.158 |
| Meta-epidemiology (narrow) | 0.004 | 0.002 |
| Meta-epidemiology (broad) | 0.006 | 0.002 |
| Bibliometrics | 0.011 | 0.018 |
| Science and technology studies | 0.011 | 0.007 |
| Scholarly communication | 0.061 | 0.020 |
| Open science | 0.009 | 0.046 |
| Research integrity | 0.017 | 0.013 |
| Insufficient payload (model declined to judge) | 0.521 | 0.664 |
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".