Bibliographic record
Abstract
Citation (2015), "List of Contributors", Library Staffing for the Future (Advances in Library Administration and Organization, Vol. 34), Emerald Group Publishing Limited, Bingley, pp. vii-viii. https://doi.org/10.1108/S0732-067120150000034019 Publisher: Emerald Group Publishing Limited Copyright © 2015 Emerald Group Publishing Limited Elizabeth Baker Carteret Community College, Morehead City, NC, USA Anna Petronella Coreejes-Brink Cape Peninsula University of Technology Libraries, Cape Town, South Africa, South Africa Michael A. Crumpton University of North Carolina at Greensboro, Greensboro, NC, USA Mark Dahl Lewis and Clark College, Portland, Oregon Kathleen DeLong Kathleen Delong, University of Alberta, Edmonton, Alberta, Canada Jennifer L. Dean Siena Heights University, Adrian, MI, USA Daniel Hickey Cornell University Library. Ithaca, NY, USA Sonnet Ireland University of New Orleans Earl K. Long Library, New Orleans, LA, USA Jennifer Jackson University of New Orleans Earl K. Long Library, New Orleans, LA, USA Megan Kinney Contra Costa College, San Pablo, CA, USA Nicole Lawson Sonoma State University, Rohnert Park, CA, USA Ucha I. Mbofung Ajayi Crowther University Library, Oyo, Nigeria Michiel Erik Moll Cape Peninsula University of Technology Libraries, Cape Town, South Africa, South Africa Richard J. Moniz, Jr. Johnson & Wales University’s Charlotte Campus, Charlotte, NC, USA Allison Jai O’Dell University of Florida, George A. Smathers Libraries, Gainesville, FL, USA Corey Seeman Ross School of Business at the University of Michigan, Ann Arbor, MI, USA Marianne Sorensen Tandem Social Research Consulting, Edmonton, Alberta, Canada Neely Tang Cornell University Library. Ithaca, NY, USA William H. Weare, Jr. Director of Evans Public Services, University Libraries, Texas A&M University, College Station, TX, USA Book Chapters Library Staffing for the Future Advances in Library Administration and Organization Library Staffing for the Future Copyright Page List of Contributors Editorial Advisory Board Future of Library Staffing The Potential Impact of Positive Organizational Behavior on the Library Working Environment: An Introduction for Library Administrators The Emotionally Intelligent Mentor The Future of Library Staffing: Relationships Are Essential Staffing for the Future … with the Staff You Have Right Now “No One Gets Left Behind”: Managing Library Human Resources during Dramatic Shifts in Academic Libraries Small Branch Management in Academic Libraries Unlocking Capacity as Academic Libraries Transition from Print to Digital Theoretical and Applied Approaches to Remote Work for Academic Reference and Instruction Librarians The Shifting Roles of Student Workers Empowering Students and Expanding Services: Sustainable Staffing at the Sonoma State University Library Planning for Linked Data: Recruitment, Training, and Workflow Design for Resource Description and Metadata Management A Changing Profile of Librarians in the Canadian Association of Research Libraries (CARL) Sustaining Library Staff of the Future: Emerging Requirements Succession Planning in Academic Libraries: A Reconsideration About the Authors
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 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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.032 | 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 teacher head, 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".