Editorial: Gender, Violence and Conflict: University of the West Indies and University of Leicester International Summer School, 27–31 May 2024
Bibliographic record
Abstract
Held from 27–31 May 2024 at the University of the West Indies, St Augustine, Trinidad and Tobago, the latest iteration of the University of the West Indies and University of Leicester International Summer School brought together a vibrant and interdisciplinary cohort of postgraduate candidates and early career researchers from across the Caribbean, Canada and the UK. Centered on the theme of Gender, Violence and Conflict, the week-long programme invited participants to engage critically and creatively with some of the most pressing social challenges of our time, through lectures, seminars, and a culminating researcher-led mini-conference. This special issue, a product of that intellectual and creative exchange, draws together contributions that span genres, geographies, and disciplinary perspectives. From academic essays to poetry, the pieces published here reflect the spirit of the summer school: collaborative, courageous, and committed to decolonial and context-sensitive approaches. The works explore a wide range of intersecting concerns, from gender-based violence to Afro-German identity, to ecological grief, to Caribbean cultural practices and literary imaginaries. In their form and content, these contributions speak to the multiplicity of voices, methods, and lived experiences that animated the 2024 programme. Together, they demonstrate the continued importance of centring global south epistemologies and creative modalities in tackling the layered entanglements of gender, violence and conflict.
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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 | 0.009 | 0.030 |
| Meta-epidemiology (narrow) | 0.005 | 0.002 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.006 | 0.004 |
| Science and technology studies | 0.009 | 0.006 |
| Scholarly communication | 0.014 | 0.008 |
| Open science | 0.005 | 0.005 |
| Research integrity | 0.017 | 0.017 |
| Insufficient payload (model declined to judge) | 0.026 | 0.011 |
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".