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Record W4402849084 · doi:10.29311/lwps2024114744

Truths and Reconciliation: Reflections on the University of the West Indies and University of Leicester International Summer School 2023

2024· article· en· W4402849084 on OpenAlexaboutno aff
Carinya Sharples

Bibliographic record

VenueLIAS Working Paper Series · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicCaribbean history, culture, and politics
Canadian institutionsnot available
Fundersnot available
KeywordsWest indiesInternational schoolGeographySociologyPedagogyEthnology

Abstract

fetched live from OpenAlex

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.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.854
Threshold uncertainty score0.992

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.048
GPT teacher head0.269
Teacher spread0.220 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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