Bibliographic record
Abstract
Purpose As the younger generation of born digital library users and even well‐established scholars rely increasingly on Google, or its new products Google Scholar and Google Book, for information resource discovery and access, libraries are finding it increasingly difficult to ensure that their own well structured web sites and information services are being utilized appropriately. This paper aims to highlight some of the changes occurring in the information environment and suggests ways of marketing library services effectively to today's users. Design/methodology/aproach Marketing concepts are explored in the paper, focusing on a clear understanding of users, the library's products, the appropriate place for service delivery, an appropriate pricing strategy – and effective promotional strategies. Promotional strategies which are being used effectively by some commercial organizations, as well as approaches being developed by some libraries, are highlighted. Practical hints are provided so that libraries can ensure that their missions of ensuring that every book has its reader can be accomplished in a new age of access to information in real books and journals and virtual books and journals and other information resources. Findings The paper finds that libraries no longer operate in a “come and get it” environment and new ways of outreach are described which ensure that librarians are out amongst their communities, creating an awareness of the services available and ensuring effective use of resources through a variety of approaches used in university libraries in Australia and at McGill University in Montreal, Canada. Originality/value This paper provides useful information on the changes occurring in the information environment and ways of marketing library services effectively to today's users.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.004 | 0.008 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.020 | 0.012 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.013 | 0.006 |
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".