Mobile Technology and Academic Libraries: Innovative Services for Research and Learning. Robin Canuel and Chad Crichton, eds., for the Association of College and Research Libraries. Chicago: American Library Association. 2017. 284p. $68.00.
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
Providing content, collections, and services to mobile users is increasingly important in contemporary libraries. In Mobile Technology and Academic Libraries: Innovative Services for Research and Learning , Robin Canuel and Chad Crichton curate a collection of practical case studies of libraries adapting technologies, piloting new initiatives, and building new tools to meet the needs of mobile users. This volume is oriented toward academic libraries but is diverse within this constraint. Canuel is the Head of the Humanities and Social Sciences Library at McGill University, and Crichton is a Liaison Librarian at the University of Toronto Scarborough. Both have presented and published on the use of mobile technologies in libraries. The case studies come from academic institutions, but the selection features libraries of different types, including research libraries, archives, law libraries, and health sciences libraries. The volume also includes examples from functional units across the library, including public services, collections, web services, and instruction.
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 | 0.007 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.010 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.002 | 0.009 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| 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