Bibliographic record
Abstract
Oxford University Press is the largest university press in the world. It has been in continuous operation since 1586, making it the second oldest university press after Cambridge University Press (1534). From its imposing complex in Jericho, the stylish suburb of Oxford, and its many satellite offices around the world, including Delhi, Chennai, Kolkata, Karachi, Hong Kong, Cape Town, Nairobi, Dar es Salaam, Melbourne, Toronto and New York — the overlap with former territories of the British Empire is conspicuous — it produces an unparalleled number of academic publications every year and occupies a dominant position in the authentication of knowledge and its dissemination across the globe. In 2022–23, for example, the press published no fewer than 1,777 new academic titles, available in 193 countries and translated into 45 languages (including Somali and Quechua, as the press's 2022–23 Annual Report breathlessly announces). And revenues are substantial: £825,000,000 in sales last year alone. A bastion of prestige, global in reach but with a clear centre, and sitting comfortably within the inner citadel of a hierarchical, worldwide ecosystem of knowledge-making, Oxford University Press can be seen as a quasi-imperial operation in its own right.
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 | 0.017 | 0.030 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.006 | 0.066 |
| Scholarly communication | 0.011 | 0.020 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.006 | 0.016 |
| Insufficient payload (model declined to judge) | 0.011 | 0.003 |
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".