MétaCan
Menu
Back to cohort
Record W2164183875 · doi:10.3138/cbmh.20.1.43

“Impossible Cases Can be Cured When All the Factors Are Known”: Gender, Psychiatry and Toronto’s Juvenile Court, 1912–1930

2003· article· en· W2164183875 on OpenAlexaffvenueabout
Bryan Hogeveen

Bibliographic record

VenueCanadian Journal of Health History · 2003
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Studies on Reproduction, Gender, Health, and Societal Changes
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsJuvenile delinquencyDeviance (statistics)JuvenileMental healthPsychologyEconomic JusticeGeneral partnershipJuvenile courtCriminologyPsychiatryTest (biology)LawPolitical science

Abstract

fetched live from OpenAlex

Mental health professionals intent on leaving their mark on juvenile justice and committed to behaviour modification forged a partnership with Toronto's Juvenile Court during the 1920s. However, the routine practice of the court did not allow for intensive investigation of juvenile offenders or for careful study of the causes of delinquency. Conferences started in 1925 by W. E. Blatz bridged this gap by offering a number of advantages that could not be realized under the court's busy routine. Taking charge of a limited number of offenders permitted psychiatrists to more thoroughly examine special cases such as recidivists, intensely debate treatment strategies, more carefully supervise individual cases, and test their theories about the causes of juvenile crime. Conference case files reveal that psychiatrically informed strategies of regulation were a novel way to respond to deviance and that gender-specific understandings of, and strategies for, appropriate conduct also served to reproduce prevailing ideals for working-class boys and girls. With clear ideas about appropriate conduct for girls and boys, mental health professional attempted to create such standards in the delinquents whose cases appeared before them.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.895
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.127
GPT teacher head0.270
Teacher spread0.143 · 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.

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

Citations1
Published2003
Admission routes3
Has abstractyes

Explore more

Same venueCanadian Journal of Health HistorySame topicHistorical Studies on Reproduction, Gender, Health, and Societal ChangesFrench-language works237,207