Cummings, Merrill, and Borrelli’s Inquiry into Small Screen Use by Academic Library Users: Timing is Everything
Bibliographic record
Abstract
A Review of: Cummings, J., Merrill, A., & Borrelli, S. (2010). The use of handheld mobile devices: Their impact and implications for library services. Library Hi Tech, (28)1, 22-40. https://doi.org/10.1108/07378831011026670
 Abstract 
 Objective – The authors undertook this study to understand the relatively new phenomenon of handheld computing and the use of small-screen devices among academic library users. They sought to determine if users would be inclined to search the online library catalogue on their devices and, by extension, if there would be a growing demand for small-screen compatible library services.
 Design – Online and paper surveys were used with both closed and open questions. Respondents included students, faculty, and staff at Washington State University (WSU).
 Setting – Washington State University Library, Pullman, Washington, United States of America. Subjects – The survey was open to any user of the Washington State University (Pullman) Library. The 206 respondents included 126 (61.2%) undergraduates, 26 (12.6%) graduate or professional students, 32 (15.3%) WSU employees, and 15 (7.3%) faculty members. Methods – A survey was distributed both online and on paper. The online version used Surveymonkey.com and participation was solicited through various social media. It was open for three months during the Spring semester, 2007. The paper version was distributed to all library users on two days in June 2007. Eighty-four online and 122 paper responses were received.
 Main Results – Most of the respondents (58.4%) who owned a personal digital assistant (PDA) or Web-enabled cell phone (WECP) indicated that they would search the library catalogue on a small-screen device. Responses to the open question “How would you use the OPAC [online public access catalogue] if it was available on a PDA or WECP?” were mixed, both positive and negative. The positive responders noted the possible time savings associated with the availability of more information on their devices. The negative responders noted the cost of data, the annoyance of public phone use, and the complex format of the current catalogue that would not transfer to a small screen.
 Conclusion – The authors cited the growing usage trends in handheld devices, along with the willingness of current owners to use their devices, to predict an increase in usage of small screen searching. They speculated that further research should investigate how small screens would be used and what would that experience look like, rather than if patrons would use them.
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Observational | low |
| gpt | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Observational | low |
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 | 0.003 | 0.635 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedLabeled directly by 2 models reading the full record.
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".