Bibliographic record
Abstract
In the summer of 2003, Dave Hadfield, perhaps Britain?s best-known writer on rugby league, set out on a 200-mile walk from Hull to Widnes, taking him through the heartlands of the game he loves. In the course of his meander, places he thought he knew already were revealed in a new light: from the Humber to the Mersey, he made fresh discoveries about the sport in which he has immersed himself and the landscape in which it has struggled and thrived. Along the way, Hadfield met people involved at all levels in the game and its culture: Hull?s distinguished Jonny Whiteley, Leeds hard man Barrie McDermott, Bradford?s 83-year-old Trevor Foster and a couple of miserable old gits thrown in for good measure. He also learned of personal tragedy as he gained the confidence of former coaches and players en route. In this intimate account, Hadfield observes the way rugby league fits into the history and sociology of towns like Wigan and Castleford, with which it is synonymous. His record of the journey is in the great tradition of writers from Wordsworth to Laurie Lee, who found in words the perfect medium to explore and reflect upon their surroundings. Up and Over is the definitive book about a game and the local passions it engenders, as Hadfield seeks out the poignant and the humorous on a personal journey of discovery. For those who follow the game of rugby league, it will give a unique perspective on the parts of the world they know intimately; for others it will be an introduction to a different world, seen via one of the elements that gives it its identity.
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) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.041 | 0.007 |
| Scholarly communication | 0.022 | 0.008 |
| Open science | 0.002 | 0.013 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.061 | 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 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".