Complex and Varied: Factors Related to the Research Productivity of Academic Librarians in the United States
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
Academic librarians face multiple barriers in conducting the research that is expected in their work, yet they still manage to successfully complete it. This study aimed to identify the factors that contribute to their success. Through an online survey sent via email to a random sample of academic librarians in the United States, we gathered and analyzed quantitative data about education and experience, demographics, success factor statements, and research productivity to determine which factors are related to increased research output. We found that three categories of factors—Individual Attributes, Peers and Community, and Institutional Structures and Supports—contribute positively to overall research output. We identified several elements that academic librarians may want to pursue to increase research productivity, with Peers and Community identified as a category for exploration. Overall, we found that academic librarians are highly motivated to conduct research, yet the factors leading to their success are complex and varied.
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 | 0.015 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.020 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.001 | 0.010 |
| Open science | 0.002 | 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 it