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Record W4403041044 · doi:10.1177/00220183241278094

Prisoner Health and Well-Being in Historical Perspective, 1850–1900: Exploring Experiences of Illness and Disability in the Victorian Convict System

2024· article· en· W4403041044 on OpenAlexfundno aff
Jo Turner, Helen Johnston

Bibliographic record

VenueThe Journal of Criminal Law · 2024
Typearticle
Languageen
FieldPsychology
TopicHistorical Psychiatry and Medical Practices
Canadian institutionsnot available
FundersEconomic and Social Research CouncilArts and Humanities Research CouncilLeverhulme TrustMcGill University
KeywordsConvictPerspective (graphical)Sociology of health and illnessCriminologyPsychologySociologyPsychiatryPolitical scienceLawHealth careComputer science

Abstract

fetched live from OpenAlex

Using historical and archival methodological approaches, this article provides an interdisciplinary empirical study of health experiences of prisoners in the Victorian convict prison in England and Wales. It explores the challenges of doing historical criminological work on prisoner health and disability. The article examines the health of long-term prisoners, those serving sentences of penal servitude and their interactions and treatment by the Prison Medical Officers in the system. Reflecting society outside, the prison population was drawn from populations that had experienced childhood illness, workplace accidents and war and therefore had to accommodate those suffering from both short- and long-term health issues. Using historical documentation and case studies of individual prisoners, this article highlights not only the deep scepticism the system had for those they saw as ‘malingerers’, but also the recognition that some people could not endure the full force of the prison labour regime.

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)0.003
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.269
Threshold uncertainty score0.281

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.049
GPT teacher head0.350
Teacher spread0.301 · 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 designQualitative
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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