Proceedings of the 1963 Clinic on Library Applications of Data Processing
Bibliographic record
Abstract
Starting from the proposition that it is the proper function of a \nlibrary school to give leadership to the profession, the Faculty of the \nUniversity of Illinois Graduate School of Library Science have from \ntime to time attempted to identify major challenge problems of our \nage and to formulate appropriate responses to them. It is ever more \nclear that a major problem perhaps the major challenge of the profession \nin our generation is that posed by the mounting volume of \npublication in combination with the increased use of a complex technological \nsociety for factual information. \nIn a sense all of librarianship bears on this problem. But more \nspecifically this is the province of documentation and its special tools \nof high-speed machines. To help meet this challenge problem, the \nUniversity of Illinois Graduate School of Library Science set up a \ngraduate course on "Information Storage and Retrieval" which was \noffered for the first time in the fall of 1962. Then in the spring of \n1963 a Clinic on Library Application of Data Processing was held in \nUrbana, the papers of which constitute this volume.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.008 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.050 | 0.017 |
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".