Bibliographic record
Abstract
tantalising mystery...beguiling and richly suggestive. (Metro). Jane was fifteen when her life changed for ever. In the woods surrounding a Yorkshire country house, she took her eyes off the little girl she was minding and the girl slipped into the trees - never to be seen again. Now an adult, Jane is obsessed with another disappearance: that of a young woman who walked out of a Victorian lunatic asylum one day in 1877. As Jane pieces together moments in history, forgotten stories emerge - of sibling jealousy, illicit affairs, and tragic death...Strange and absorbing...I relished this book. (Penelope Lively, The New York Times Book Review). Sensitive, melancholy, sharply observant. A work of great power. (Guardian). Ambitious, inticate...cleverly innovates while tipping a nod to classic Gothic tropes: dynastic rivalries, crumbling country houses, madhouses and vanished girls. (National Post (Canada)). brilliant work of humanity and imagination, artful and breathtakingly beautiful. It will continue to haunt long after you have finished reading. (Helen Humphreys, author of Nocturne). Powerful, thought-provoking, haunting and haunted...Reminiscent of A S Byatt's Possession, it forces you to look at the world - the people around you, the objects they hold dear - in a different light. (Globe and Mail (Canada)).
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 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.009 | 0.008 |
| Scholarly communication | 0.013 | 0.010 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.153 | 0.063 |
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".