Diversity now : people, collections, and services in academic libraries : selected papers from the Big 12 Plus Libraries Consortium Diversity Conference
Bibliographic record
Abstract
* Introduction * People: Recruitment and Retention * Cultivating Partnerships/Realizing Diversity * The New Beginnings Program: A Retention Program for Junior Faculty of Color * Recruit, Recruit, Recruit: Organizing Benefits for Employees with Unmarried Families * Using Professional Development as a Retention Tool for Underrepresented Academic Librarians * Effective Retention Strategies for Diverse Employees * People: Institutional and Organizational Culture * The Assessment of Diversity Initiatives in Academic Libraries * Challenges of Working in a Multicultural Environment * Cultural Diversity and Gender Role Spillover: A Working Perspective * African American Female Librarians: A Study of Job Satisfaction * Collections and Access * Stories Told But Yet Unfinished: Challenges Facing African-American Libraries and Special Collections in Historically Black Colleges and Universities * Historically Black College and University Libraries in the 21st Century: Accomplishments, Challenges, and Recommendations * Instruction and Library Education * Communication and Teaching: Education About Diversity in the LIS Classroom * Diversity in the Classroom: Incorporating Service-Learning Experiences in the Library and Information Science Curriculum * Race, Class, Gender, and Librarianship: Teaching in Ethnic Studies * Healing Hearts, Enriching Minds: The Multicultural Storytelling Project and the Texas A&M University Libraries * Aboriginal Students in Canada: A Case Study of Their Academic Information Needs and Library Use * Index * Reference Notes Included
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.009 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.019 |
| Science and technology studies | 0.009 | 0.003 |
| Scholarly communication | 0.021 | 0.013 |
| Open science | 0.002 | 0.012 |
| Research integrity | 0.005 | 0.004 |
| Insufficient payload (model declined to judge) | 0.031 | 0.004 |
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 source (direct Gemma or distilled Codex), 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".