Bibliographic record
Abstract
The Academic Book of the Future is a research project funded by the Arts and Humanities Research Council (AHRC) in collaboration with The British Library (BL) and is concerned with how scholarly work in the arts and humanities will be produced, read and preserved in coming years. The project is run by a team from University College London (UCL) and King’s College London (King’s), with support from the Research Information Network (RIN). The project has built a Community Coalition of more than 100 organizations and individuals. The project and the Coalition are holding a whole range of events and carrying out research projects on a variety of relevant topics. The key event for 2015 is Academic Book Week, 9-16 November 2015, which has been taken up enthusiastically by the Publishers Association (PA) and the Booksellers Association (BA), as well as the Association of Learned and Professional Society Publishers (ALPSP), and was launched in July 2015 with a large announcement in The Bookseller. Events celebrating the diversity, innovation and influence of academic books will be held across the UK, with participation from institutions elsewhere in Europe and also in the USA, Canada, Japan and Australia.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.016 | 0.010 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.116 | 0.060 |
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".