Working together: Exploring collaborative opportunities to ‘SoTL’
Bibliographic record
Abstract
<b>Working together: Exploring collaborative opportunities to ‘SoTL’</b><br>A collaborative panel presentation for ISSOTL 2021: Sustainable Education through SoTL: practices and Cultures. <br>Hosted by the University of Western Australia, Perth, Australia. 26th- 29th October 2021<br><br><i>Abstract:</i>Our current context has magnified the need to connect with like-minded colleagues. Accordingly, this panel discussion will create an opportunity to connect with colleagues through ISSOTL’s Interest Groups. <br>The panel will begin with a short presentation to explain what Interest Groups are, provide examples, and articulate the value of membership in furthering one’s SoTL practice. <br>Facilitated by Interest Group Chairs/Co-Chairs the main body of the session will encourage discourse, facilitate interaction, solicit feedback, and invite questions. The presentation will close with a series of signposts to share how and where delegates can gain more information about ISSOTL interest groups.<br>For further information please visit our Interest Group page: https://issotl.com/interest-groups/<br>Lead for correspondence: Dawne: belld@edgehill.ac.uk Twitter: @belld17
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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 | 0.000 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.190 | 0.007 |
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; both teacher heads agree on what is shown here.
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".