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Record W4400013203 · doi:10.1111/bjp.12907

Outrageous Reason: Madness and Race in Britain and Empire 1780‐2020 by PeterBarham. Published by PCCS Books, Monmouth, UK, 2023; xv11 + 248 pp, ISBN 9781915220394.

2024· article· en· W4400013203 on OpenAlexaboutno aff
Barry Richards

Bibliographic record

VenueBritish Journal of Psychotherapy · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Studies on Reproduction, Gender, Health, and Societal Changes
Canadian institutionsnot available
Fundersnot available
KeywordsRace (biology)PsychologyEmpireHistoryAncient historyGender studiesSociology

Abstract

fetched live from OpenAlex

What connections might there be between the lives of a mixed-race seamstress/ governess in mid-19th century Kingston, Jamaica, and a white domestic servant in early 20th-century London?Henrietta Dawson and Alice Triggs are two of the case studies in this new book by Peter Barham, across nearly all of whom there was a deep connection: subjection to the abusive psychiatric regimes of their times.Their experiences were of course different.Dawson was taken to the Kingston Lunatic Asylum during an acute depressive episode in 1858.She recovered, and wrote about the ordeals which she had suffered and seen others undergo in the brutal asylum.Triggs was beset by depression and anxiety throughout her life, and from 1915 was a 'revolving door' patient in Colney Hatch and Napsbury Lunatic Asylums, receiving no real care or attention, before spending over 40 years at Napsbury until her death there in 1962.Both were from modest backgrounds, though not destitute.Dawson was the daughter of a lawyer, one of the colonial white men who gave ongoing financial support to the offspring of their liaisons with black women.Triggs' working-class parents died while she was in her teens, but her siblings appear to have been upwardly mobile, in contrast to her own fate.These and other richly detailed case studies are at the core of Barham's book, much of which builds on his previous work about connecting with and respecting the life-worlds of those now called 'service users', especially those labouring under diagnoses of psychosis.In this latest study, the author's interdisciplinary skill in weaving together psychology, history and sociology are deployed in his case analyses.But while focussed empirically on individual examples, he aims to show how within Britain and its empire a particular set of values has been at the centre both of the state's management of psychological distress and of the white racism characteristic of the imperial period.The clue to the content of these values is in the book's title.Barham does not explicitly unpack the phrase 'outrageous reason', but he does not need to.The message he draws from his case studies and develops into an overall narrative is that a moralistic model of rationality underpinned both racism and, as it emerged in the 19th century to shape the state's response to a range of problems, psychiatry.At the centre of this model was an image of 'reason', reflecting the outlook, behaviours and values of the dominant classes within Britain of the high imperial era.Where that 'reason' held sway, those unable or unwilling to inhabit that image were at best marginalised, and in danger of restrictive or punishing measures being taken against them.In this respect, mentally disturbed people and non-white people

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.105
Threshold uncertainty score0.208

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0020.003
Scholarly communication0.0030.003
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0210.006

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 head0.017
GPT teacher head0.254
Teacher spread0.236 · 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 source (direct Gemma or distilled Codex), not a consensus.

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

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".

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Citations0
Published2024
Admission routes1
Has abstractyes

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