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Record W2051325485 · doi:10.1080/09687590500375481

Treating the ‘idiot’ child in early 20th‐century Ontario

2005· article· en· W2051325485 on OpenAlexaffabout
Jessa Chupik, David Wright

Bibliographic record

VenueDisability & Society · 2005
Typearticle
Languageen
FieldPsychology
TopicHistorical Psychiatry and Medical Practices
Canadian institutionsMcMaster University
FundersEli Lilly and Company
KeywordsIdiotInstitutionContext (archaeology)Psychological interventionIntellectual disabilitySociologyPsychologyPolitical scienceHistorySocial sciencePsychiatry

Abstract

fetched live from OpenAlex

The late 19th and early 20th centuries witnessed the widespread construction of institutions for individuals with intellectual disabilities. Consequently, most historical research into the history of intellectual disability has focused on medical interventions performed inside these quasi‐medical institutions. Recently, however, there has been new interest in community options that existed at the same time and the way in which community care and formal institutions interacted. This paper explores these issues in the context of early 20th century Canada. It will demonstrate that families of ‘idiot’ children sought different types of treatments and care in order to remedy their child's behavioural difficulties and learning delays. In many cases, families resorted to applying for their child's admission to the then largest ‘idiot’ institution in Canada, the Orillia Asylum. However, these admissions often occurred after lengthy and often exhaustive attempts by families to find alternatives to the institution and, indeed, to formal medical treatment.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.116
Threshold uncertainty score0.844

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0250.008
Scholarly communication0.0020.001
Open science0.0010.003
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.018
GPT teacher head0.311
Teacher spread0.292 · 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 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

Citations14
Published2005
Admission routes2
Has abstractyes

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