The Centre for Evidence Based Library and Information Practice (C-EBLIP) Director’s Report to the Dean on 2015/16: International Expansion
Bibliographic record
Abstract
The Centre for Evidence Based Library and Information Practice (C-EBLIP) continues to move forward in its mission of supporting librarians as researchers and promoting evidence based library and information practice (EBLIP). 2015/16 was the third full year of operation for C-EBLIP. Following the building year of 2013/14 and the forward momentum of 2014/15, this past year has continued to see new growth, especially in terms of international expansion, as well as the further solidification of initial activities. 2015/16 saw the launch of the C-EBLIP Research Network: the most innovative and far-reaching endeavor that the Centre has embarked on in its three years of existence. The University Library has come a long way in growing a robust culture of research internally in the past 10 years. There have been Canadian instances of finding ways to increase skills and capacity amongst Canadian librarians that our University Library has contributed to (i.e. CARL Librarian Research Institute). However, the idea of conducting this work on an international scale is a challenge that we are ready to meet. As the University of Saskatchewan makes strides in internationalization, the C-EBLIP Research Network is the University Library’s contribution to this goal. Centre members continue to be engaged in the mission of C-EBLIP. This engagement was seen in the new activities that were rolled out in 2015/16 as well as continued participation in exploring where the Centre needs to go. C-EBLIP continues to be a stimulating intellectual space that encourages University Librarians to explore their own roles in the research process and in EBLIP.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.000 |
| Scholarly communication | 0.000 | 0.016 |
| 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 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".