ACRL candidates for 2020: A look at who’s running
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
Lynn Silipigni Connaway is the director of library trends and user research at OCLC Research, a position she has held since 2018. Prior to this, Connaway served as senior research scientist and director of user research (2016-18), senior research scientist (2007-16), and consulting research scientist III (2003-07), all at OCLC Research. She was vice-president of research and library systems at NetLibrary (1999-2003), and director and associate clinical professor of the Library and Information Services Department at the University of Denver (1995-99). She served as assistant professor in the School of Library and Informational Science at the University of Missouri (1993-95), and as head of technical services and cataloging at Mesa State College Library (1984-89).Julie Garrison is dean of university libraries at Western Michigan University, a position she has held since 2016. Prior to this, Garrison served as associate dean, research and instructional services at Grand Valley State University Libraries (2009-16); director of off-campus library services at Central Michigan University (2003-07); and as assistant/associate director of public services at Duke University Medical Center Library (2000-02).
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.005 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.000 | 0.000 |
| 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