Truths and Reconciliation: Reflections on the University of the West Indies and University of Leicester International Summer School 2023
Bibliographic record
Abstract
The University of the West Indies and University of Leicester International Summer School is an annual event, a week-long programme of lectures, workshops and social activities aimed at supporting postgraduate research students and early career researchers predominantly from the UK and Caribbean. It is hosted alternately at the University of Leicester and the different campuses of the University of the West Indies, and since its inception has been spearheaded by Dr Lucy Evans and Professor Martin Halliwell at the University of Leicester, Dr Sonjah Stanley Niaah at the University of the West Indies, Mona, and Professor Michael A. Bucknor at the University of Alberta. The 2023 edition was hosted by University of Leicester’s School of Criminology from 5th to 10th of June, under the theme of ‘Crime, (In)Justice, Human Rights’. Sub-topics included crime and culture, histories and legacies, security, surveillance, the police and the state, human rights, gender and sexualities, reproductive rights, the environment, and race. It promised an opportunity to connect with researchers in similar or related fields from around the world, who we may have otherwise not met.
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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 | 0.027 | 0.034 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.055 | 0.060 |
| Scholarly communication | 0.029 | 0.018 |
| Open science | 0.005 | 0.026 |
| Research integrity | 0.016 | 0.025 |
| Insufficient payload (model declined to judge) | 0.018 | 0.002 |
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".