Bibliographic record
Abstract
Annual Conference: The 56th Annual conference of the Society for French Studies took place at the University of Cardiff, 29 June–1 July 2015. The Society was very pleased to welcome over 170 delegates to Cardiff, where Translating Cultures, Mythmaking and Borders were popular multi-panel strands over the three days, alongside a wide range of subjects from the medieval to the contemporary. Delegates enjoyed wine receptions hosted by the French Department and University of Wales Press, and a conference dinner at Aberdare Hall, followed by a lively disco. Our distinguished plenary speakers were Eric Méchoulan (Université de Montréal), Peter Dayan (University of Edinburgh), Mireille Calle-Gruber (Université Sorbonne Nouvelle – Paris 3) and Christie McDonald (Harvard University). Thirty-five of the delegates were postgraduate students, and for the second year running the conference featured postgraduate flash presentations, this time over two sessions, run by our postgraduate representative Kaya Davies Hayon. The Society would like to extend its sincere thanks to Claire Gorrara and Kate Griffiths for their help in preparation for the conference, as well as to postgraduate helpers Esther Liu, Ayshka Sené and Stephanie Munyard for all their hard work during the event.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.320 | 0.184 |
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".