Bibliographic record
Abstract
London in Charles Dickens's time was a city of great contrast. The affluent and middle classes enjoyed a comfortable existence but for the poor, life was cruel and harsh, the more so for girls and young women. Many characters in Dickens's classic novels exemplify this: Little Em'ly in David Copperfield is perhaps the best known. Dickens was clearly troubled by what he saw and in autumn 1847 established Urania Cottage in Shepherd's Bush as a hostel for destitute young women. The residents came from prisons, workhouses, police courts and from the streets of London. They included prostitutes, petty thieves and homeless teenagers. Urania Cottage was financed by the millionairess Angela Burdett Coutts of the banking family and details of the residents, its routines and its dramas are brought to life in the treasure-trove of letters written to her by Dickens. The aims of Urania Cottage were simple - to rehabilitate the residents and prepare them for a normal life as domestic servants in Britain's expanding colonies - Australia chiefly but some went to Canada and South Africa. Charles Dickens and the House of Fallen Women vividly portrays the lot of the poor in mid-nineteenth century London and some of the people who were moved to help. Whatever his motives Charles Dickens was one of them. Jenny Hartley's meticulous research has revealed the identities of many of the residents of Urania Cottage and how they fared later in life. The book is at once moving and dramatic - life at the cottage didn't always run smoothly - and shows that with help, even the most deprived people can recover.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.031 | 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".