Bibliographic record
Abstract
Eric Partridge's A Dictionary of Slang and Unconventional English, first published in 1937, ran to 8 editions culminating in 1984 and is widely acknowledged as the definitive record of twentieth-century British slang. The New Partridge Dictionary of Slang and Unconventional English (NPD) maintains the tradition impressively, enhanced by a more conventional approach to citing sources, a broader focus to include examples of colloquial and vernacular vocabulary worldwide and prominence given to usage since 1945. A thousand new entries from the UK, USA, Australia, New Zealand, Canada, India, South Africa, Ireland and the Caribbean, and increased representation of the language of social media, document linguistic innovation and/or reflect more sophisticated lexical data capture since the previous print edition of 2006. The 19 pages of introductory text outline criteria for inclusion, describe the structure of entries and provide a fascinating set of observations on slang drawn from Partridge's many published works. With over 60,000 entries the second edition of NPD is complemented for the first time by Partridge Slang Online (PSO), a resource which offers new ways to access and interrogate the data.
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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.008 | 0.007 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.571 | 0.443 |
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".