Bibliographic record
Abstract
In September 2009 Celine Marchbank’s mother, Sue Miles, was diagnosed with lung cancer and a brain tumour. “While I was trying to come to terms with the fact she was dying, I decided I wanted, or maybe needed, to document the time she had left. I didn’t want to create a graphic portrayal of her death, it would have been impossible and wrong to focus only on the dying part, but rather I wanted to photograph our last months together. I looked at the things that made her uniquely her, the details in her house I thought I knew so well, the things that would also be gone when she was. Her love of flowers was a beautiful part of her personality; the house was always full of them, and as I photographed them I realised they were symbolic of what was happening – they represented happiness, love, kindness and generosity, but also isolation, decay, and finally death.” The book was met with widespread critical acclaim and has been exhibited and published widely nationally and internationally, including being named Photo Book of the Month by Sean O’Hagan in The Observer and Photo Book of The Week by Photo-Eye. The work has been shortlisted for several prestigious awards including The European Publishers Award For Photography, The Deutsche Bank Photography Award, The Lucie Foundation and the Emergentes DST International Photography Award. This book lives in collections and libraries worldwide including: Martin Parr Collection, Tate Library and Archive, Tate Britain, London; Wellcome Library, Wellcome Collection, London; Ingalls Library and Museum Archives, Cleveland Museum of Art, USA; Library of Congress, Washington, USA; New York Public Library, USA; Harvard University, USA; Columbia University, USA; Stanford University, USA; University of Waterloo, Canada; Hong Kong University; Nanyang University, Singapore; University of Technology, Australia; State Library of New South Wales, Australia.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.017 | 0.008 |
| Science and technology studies | 0.003 | 0.006 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.007 | 0.004 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 0.035 |
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; both teacher heads agree on what is shown here.
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".