Sometimes Two Hats Are Better Than One : Finding Synergy Between Collections and Liaison Work
Bibliographic record
Abstract
At the Gerstein Science Information Centre at the University of Toronto, collections work for all health science subjects has historically been the responsibility of a single liaison librarian. In December 2018, a new approach was implemented where two librarians share collections work for all health science subjects, while also supporting their own individual liaison portfolios. As the two new librarians hired into these positions, we initially had difficulty seeing the connection between what we felt were two distinct, unrelated roles. This poster will discuss how a project to investigate a new systematic review screening software challenged that perspective. Through the project, we were able to leverage the unique strengths of each role while learning to see and appreciate the intersection between them. In sharing our experiences, we hope to encourage continued conversation about the challenges and opportunities of split roles, and open the discussion with others who are working to balance collections work with additional responsibilities.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.008 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.000 |
| Open science | 0.004 | 0.007 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".