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
Purpose This paper aims to provide a case study of an ORCID promotion at the University of Waterloo School of Optometry and Vision Science, providing context for the importance of education in ORCID outreach. Design/methodology/approach The three-month ORCID promotion used workshops and individual appointments to educate faculty about ORCID, identity management systems and research impact and scholarly communications. Findings A targeted and personal approach to ORCID promotion focused on education about why you might use this author disambiguation system resulted in 80% of the faculty within the School of Optometry and Vision Science signing up for, or using ORCID. Scaling an ORCID implementation to a larger group would likely benefit from a dedicated project group, and integration with existing institutional systems such as a requirement of an ORCID for internal grant applications. Originality/value Although time consuming, this small-scale ORCID promotion with one department reveals that a departmental approach to ORCID education may lead to larger conversations about scholarly communications and a stronger relationship between faculty and the library.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.015 | 0.150 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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