Bibliographic record
Abstract
Annual Conference: The 56th Annual Conference will be held in Cardiff University, 29 June–1 July 2015. We are delighted to be offering a full and varied range of papers following a very strong response nationally and internationally to our call for papers. The conference programme is currently available on our website and registration details will be circulated shortly. We are very pleased to be welcoming four distinguished plenary speakers: Peter Dayan (University of Edinburgh), Mireille Calle-Gruber (Paris III), Christie McDonald (Harvard University) and Eric Méchoulan (Université de Montréal). Please note that postgraduate travel bursaries are available to help enable postgraduate students to attend the conference. For full information on these bursaries, please contact our conference officer, David Evans, dee3@st-andrews.ac.uk. We look forward to welcoming you to Cardiff /Edrychwn ymlaen at eich croesawu i Gaerdydd. Gapper Undergraduate Essay Prize: We are delighted to announce that the winner of this year's Gapper Undergraduate Essay Prize is Rupinder Kaur (University College London) for an essay entitled: ‘Discuss the significance of joy with reference to two seventeenth-century texts: Clélie and L’École des filles'. The following essay was also highly commended: Cameron Quinn (University of Oxford), on ‘Rousseau ne s'est pas suffisamment rendu compte à quel point son style astucieux rendait sa lecture et sa compréhension difficiles’.
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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.006 | 0.004 |
| Insufficient payload (model declined to judge) | 0.594 | 0.542 |
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".