Four Indications of Current North American Library and Information Doctoral Degree Programs. Occasional
Bibliographic record
Abstract
Designed to synthesize information of interest about current doctoral-level library and information education in North America, this study examines the doctoral programs in library and information studies at 17 universities in the United States and Canada. Each program is investigated from the following perspectives: (1) a survey of faculty publications over the 5-year period 1978-1982; (2) a brief summary of the program curriculum drawn from catalogs and related materials disseminated by the program to prospective students; (3) a survey of dissertations completed during the 5-year period; and (4) an opinion questionnaire that drew responses from students at 13 of the 17 programs. An orientational survey, this study is intended only to be considered within a wider context in determining relevant problem areas related to library and information doctoral education, and the programs are not evaluated. Results of the faculty publication survey for each institution and
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.047 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".