Strategy to Promote Professional Reading in University Libraries
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Reading promotion in university libraries needs to consider the differences in reading behavior of different readers and adopt suitable reading promotion strategies. Here, we first review the current situation of professional reading promotion and distinguish the demand characteristics of different types of readers. Then we conduct personal interviews with graduate students in Nanjing University of Aeronautics and Astronautics, and results demonstrate that the demands of graduate students for information on professional reading promotion and reading professional books and literatures become their indispensable demands in reading. Therefore, the visible display strategy to professional reading promotion is suggested for university libraries. Finally, taking an example of the reading promotion for zero-borrowing professional books, it is proved that the proposed strategy can increase the proportion of borrowed books and promote professional reading. In summary, we use tangible display strategy as theoretical basis and testify the proposed strategy for professional reading promotion: 1) a special cabinet displaying relevant professional books, 2) resources and charts, 3) placing bookshelves of stereoscopic models, and 4) designing and distributing a reading brochure.
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.
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 | 0.001 | 0.028 |
| Open science | 0.001 | 0.001 |
| 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 it