Reference Work and the Value of Reading Newspapers An Unobtrusive Study of Telephone Reference Service
Bibliographic record
Abstract
In this study, we discuss, from a historical perspective, the value of reading newspapers as an integral part of reference service provision. We then examine, through an unobtrusive test of telephone reference service at twenty-one public libraries in Canada, whether reference staff are paying attention to newspapers in their work. We drew questions requiring short factual answers from the national paper of record, The Globe and Mail. We asked these questions 231 times. We found that respondents answered 19.5 percent of these ques tions accurately, and made referrals to external agencies about one quarter of the time. When we followed up on these referrals, we found that 60 percent of them led to accurate answers. Patrons who ask telephone ref erence questions can therefore expect to get an accurate answer at a rate of 34.2 percent, including successful referrals to external sources. This relatively low level of accuracy could cause the loyalty of patrons to their public libraries to erode, since at least one management study of high-level business executives has suggested that accuracy is the most important factor in determining service quality. Libraries might want to institute poli cies that provide time for their reference staff to read newspapers and magazines. Schools of library and infor mation science might wish to stress the value of keeping up with current events in the syllabi of any reference courses that they offer.
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.
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 | 0.005 | 0.042 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.004 | 0.008 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".