World Book Night 2023 - We Remember:We Remember Public Telephone Boxes
Bibliographic record
Abstract
For World Book Night 2023, WBN United Artists invited people via an open call, to read one or all of the following texts, and consider how they might represent a memory that could be used to create a shared experience, a coming together of voices from the past and present.<br/><br/>I Remember by Joe Brainard<br/><br/>I Remember (Je me souviens) by Georges Perec<br/><br/>I Remember, I Remember by Mary Ruefle<br/><br/>112 contributions were sent to us from Australia, Belgium, Brazil, Canada, Cyprus, Czech Republic, Denmark, France, Germany, Hong Kong, Italy, Mexico, Nepal, the Netherlands, Norway, Poland, Portugal, Singapore, Sweden, UK, USA.<br/><br/>The exhibition will be on show at Bower Ashton Library, UWE Bristol, UK from 20th April – 30th September 2023. <br/><br/>WBN 2023 is curated and organised by Sarah Bodman and Linda Parr.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.627 | 0.001 |
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".