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Record W1968592722 · doi:10.1353/his.2011.0012

From Closed Ranks to Open Doors: Elaine and John Cummings' Mental Health Education Experiment in 1950s Saskatchewan

2011· article· fr· W1968592722 on OpenAlexvenueaboutno aff
Kathleen Kendall

Bibliographic record

VenueHistoire sociale · 2011
Typearticle
Languagefr
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsCredibilityMental healthMental illnessLegitimacyDemocracyOpenness to experiencePsychologySociologyPolitical sciencePsychiatrySocial psychologyLawPolitics

Abstract

fetched live from OpenAlex

During late 1951 and early 1952, married couple, social biologist Elaine Cumming and psychiatrist John Cumming, led a mental health education experiment in Indian Head, Saskatchewan. The study, which was intended to inform strategies toward deinstitutionalization, sought to determine if attitudes regarding mental illness could be changed through commonly used educational practices. It was shaped by the shared interests of powerful philanthropic, charitable, psychiatric, academic and governmental bodies to create healthier citizens and a stronger democratic nation through expert knowledge. However, in addition to the disappointing findings indicating that attitudes remained unchanged, the town appeared to close ranks against the research team. Nonetheless, the Cummings' later association with sociologists at Harvard University enabled them to interpret the results in a way that lent the study credibility and themselves legitimacy, thus opening the door to their careers as very successful researchers and policy-makers.

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)0.008
metaresearch head score (Gemma)0.008
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 score0.076
Threshold uncertainty score0.418

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.008
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0640.020
Scholarly communication0.0100.003
Open science0.0040.008
Research integrity0.0040.009
Insufficient payload (model declined to judge)0.0090.001

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 head0.023
GPT teacher head0.278
Teacher spread0.255 · 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

Citations4
Published2011
Admission routes2
Has abstractyes

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