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
Invited speaker at the annual Mouth Illustration Forum. \n \n \nChaired by poet Alyson Hallett, with Guest Speakers: \nSophie Herxheimer , Harriett Lee-Merrion, Alex Bildsoe, Lucy Kerr, Phylly Bluemel, Mairead Dunne, Charlie Sherratt and Barrie Tullett of The Caseroom Press. \n \nThe theme for 2018’s forum was 'Mouth: Illustration and Poetry'. It involved talks from established poets, illustrators and poet-illustrators. Linked to the forum was the launch of a new Atlantic Press publication, Mouth, an anthology of poetry and illustration from a diverse range of voices. \n \nThe Falmouth Illustration Forum is an internationally renowned annual event, now in its 16th year, that brings together high profile speakers on a yearly theme. Whilst organised by Falmouth University’s MA Illustration: Authorial Practice, and always with an eye to illustration, the speakers range from practicing illustrators to publishers, designers, fine artists, writers and more.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.014 |
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