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Record W2746563967 · doi:10.15353/cjds.v6i3.367

Unheard Voices: Sisters Share about Institutionalization

2017· article· en· W2746563967 on OpenAlexaffvenueabout
Madeline Burghardt, Victoria Freeman, Marilyn Dolmage, Colleen Orick

Bibliographic record

VenueCanadian Journal of Disability Studies · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsLoyalist CollegeYork University
Fundersnot available
KeywordsInstitutionalisationNarrativeBrotherNeglectSiblingSilenceSisterGender studiesPerspective (graphical)Disability studiesSociologyPolitical sciencePsychologyLawDevelopmental psychologyAestheticsPsychiatry

Abstract

fetched live from OpenAlex

The recent emergence of institutional survivors’ accounts of mistreatment and abuse in Ontario’s institutions for the “feebleminded” offers a window into Canada’s long history of segregation, mistreatment, and neglect of people labelled intellectually disabled. The breaking of this silence has also allowed the stories of others who were deeply affected by institutionalization to come forward. Narratives from siblings of institutionalized individuals, although not first-hand accounts of the life inside institutional walls, offer much needed perspective on the extensive and ongoing effect of institutionalization in the lives of thousands of families, and offer additional insight from another marginalized group that until now has not held a place in Canada’s visible and spoken history. This paper is a weaving together of three sibling narratives that were part of a panel at the Canadian Disability Studies Association (CDSA) conference in Ottawa, Ontario in June 2015. All sisters of institutionalized persons, the three contributors remark in particular on their profound experiences of loss after their brother or sister was sent away from the family home. The contributors believe that it is through the sharing of such experiences that society can better come to understand the devastation wreaked upon both individuals and families through misinformed and prejudicial policies over a period of more than 150 years.

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)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.605
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0050.005
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.077
GPT teacher head0.341
Teacher spread0.264 · 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; both teacher heads agree on what is shown here.

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

Citations6
Published2017
Admission routes3
Has abstractyes

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