Overlap between Humanities Faculty Citation and Library Monograph Collections, 2004–2009
Bibliographic record
Abstract
The authors wished to evaluate whether their collection housed the resources that their humanities faculty needed (and actually used) for their research, with the hope of providing additional illumination about general resource use by humanities scholars. This study asks not whether anyone used what was already owned, but instead whether the library owned what was needed. The answer to this question might have implications for storage or weeding decisions, approval plans for collections, and interlibrary loan. A citation analysis of 28 monographs published by their institution’s humanities faculty between 2004 and 2009 was used to assess how many of their cited sources were owned, how they were acquired (approval or firm order), their average age, and interdisciplinary usage as evidenced by LC classification. Subject areas assessed were History, Philosophy, Classics, and English. Findings include that one quarter of sources cited were over 25 years old, and that over the last fifteen years, the approval plan has provided more than three quarters of the sources cited that were owned.
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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 | 0.032 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.071 | 0.100 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".