Bibliographic record
Abstract
The present number of "Studies into the History of the Book and Book Collections" ("Z Bada nad Ksik i Ksigozborami Historycznymi") is dedicated to the selected resources in the special library and archival collections in North America, in both the United States and Canada.The purpose of a special collection is to acquire, arrange, describe, preserve, and make available materials of enduring historic value to support the research needs of the university students and faculty, as well as the larger community of scholars, locally, regionally, and internationally 1 .The reasons for holding items in a special collection or archive include their age, historical value, craftsmanship, rarity (as in the case of autographs, letters or diaries), and other items of varying significance.Items in special collections may include, but not be limited to, the personal papers of scientists, artists, political activists, and writers; photographs; manuscript drafts; rare books; audio visual materials and more.Special collections can also include generalized material not considered entirely rare, such as an extensive collection of children's books on a specialized topic like the urban experience 2 .Donald J. Waters (2009) defines special collections as "sometimes referring simply to rare books and manuscript materials, and sometimes more generally to materials that are used as primary sources of evidence as opposed to secondary sources" 3 .Archivists and special or rare material librarians who collect rare books for the library must first consider their academic value and their role within the library as well as the larger institution.The absence of a knowledgeable rare materials librarian can hinder fully utilizing the collection and make it difficult to field questions from viewers and scholars.Rare book librarians acquire, catalog, preserve, provide access, and supervise the use of these material.Of course, collecting even general academic materials requires a special knowledge of the subject, audience, and types of material best suited for users.Collecting rare material requires much greater specialization 4 .
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.009 |
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; both teacher heads agree on what is shown here.
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".