Bibliographic record
Abstract
Poetry reading which was part of an event being held at Claremont Graduate University to complement a class in the literature of Mormon women. The readings were filmed at Claremont Graduate University's Albrecht Auditorium where Joanna Brooks was joined by three published poets; Susan Scott, a professor at Wilfred Laurier University in Canada, a scholar of religion, a writer and an editor; Lisa Van Orme Hadley, a fiction writer and an MFA student at Warren Wilson School; and Eliza Pulido, a published poet who also holds an MFA degree in writing from The School of the Art Institute of Chicago and is a Ph.D. student at Claremont Graduate University.
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 | 0.007 | 0.003 |
| Meta-epidemiology (narrow) | 0.004 | 0.003 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.007 | 0.002 |
| Research integrity | 0.007 | 0.015 |
| Insufficient payload (model declined to judge) | 0.024 | 0.035 |
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".