Session 8: Richard Harrison and Beth Everest (poets), interviewed by Sally Haney
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
The SOTL in 60+ podcast series consisted of ten episodes recorded during the 2024 Symposium for Scholarship of Teaching and Learning November 7-9, 2024 in Banff, Alberta, Canada. The podcast series was sponsored by the Mokakiiks Centre for Scholarship of Teaching and hosted by Sally Haney of Mount Royal University. Session 8 of SOTL in 60+ podcast series. Description provided on LinkedIn: The Poets! Poets at a SoTL conference? Absolutely. Pop-up Poetry is a fixture at the Banff SoTL Symposium where poets Richard Harrison and Beth Everest invite attendees to share an idea, a word, really anything that is percolating. A short exchange soon results in a finished poem for the attendee to take away, likely never again to be seen by the poet. Thanks, Richard and Beth, for stopping by the podcasting table to share this delightfully creative approach to capturing our experiences.
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.048 |
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