STEM Librarians’ Presence on Academic Profile Websites
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
This study explores STEM librarians’ presence on academic profile websites (APWs) at American and Canadian research universities. It was found that Google Scholar Citations was the most used APW, followed by ResearchGate, ORCiD, and academia.edu. The rate of profile without a publication list in ORCiD of these librarians was significantly lower than other users across this platform, suggesting that it may be necessary for ORCiD to improve the publication addition function in order to help other users to increase their presence. The social networking functions were not well adopted, as such, ResearchGate’s composite metric, RG Score, adds little new information to bibliometric indicators.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.017 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.001 | 0.007 |
| Open science | 0.009 | 0.006 |
| 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