Wilhelmina Barns-Graham Trust Doctoral Award, 20th-Century European Art
Bibliographic record
Abstract
Wilhelmina Barns-Graham Trust Doctoral Award, 20th-Century European Art St Andrews Bewerbungsschluss: 30.04.2015 Kathryn M. Rudy, University of St Andrews Wilhelmina Barns-Graham Trust Doctoral Award The School of Art History at the University of St Andrews invites applications for the Wilhelmina Barns-Graham Trust Doctoral Award, to start in September 2015. The Award will be made to a student whose PhD research focuses on some aspect of twentieth-century European art. Preference will be shown to those with an interest in British Modernism. The three-year funding package includes a scholarship to cover university fees (to the value of £3200.00 annually), a contribution to living costs (to the value of £6000.00 in the first year and a guaranteed minimum of £3000.00 in the subsequent years) and the opportunity to work as an undergraduate tutor or assistant in the School’s visual resources collection. For more details, please contact: Dr Kathryn Rudy, Director of Postgraduates, Email: kmr7@st-andrews.ac.uk Mary Kettle, Postgraduate Secretary, Email: pgarthist@st-andrews.ac.uk Visit the Trust website for more information: http://www.barns-grahamtrust.org.uk/. See the PhD entry requirements for more information and application procedure: http://www.st-andrews.ac.uk/study/pg/. Closing date for applications: 30 April 2015 (the successful applicant will be notified by 15 June 2015).
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.408 | 0.139 |
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".