Evaluating Virtual Reference from the Users’ Perspective
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
Abstract This article discusses the evaluation of virtual reference services from the user perspective. It is one outcome of a long-term research project, The Library Visit Study, which has been conducted in three phases at the University of Western Ontario for more than a decade. These studies have identified the need for, and essential components of, reference interviews and good reference behaviors. The third phase of this research focuses on the factors that make a difference to the users’ satisfaction with their virtual reference experience and whether these are the same or different from the ones we identified as important in face-to-face reference. An examination of user accounts of virtual reference transactions indicates that the reference interview has almost disappeared. Among the reasons identified for staff failure to conduct reference interviews in the virtual environment are: the nature of written vs. spoken interaction; the librarian's perceived need to respond quickly in this environment; and the rudimentary nature of the forms used in e-mail reference. The article includes a list of behaviors that users identified as either helpful or unhelpful and concludes with some implications of the research for good virtual reference service.
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 | 0.001 | 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 | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.009 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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