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Record W2594666893 · doi:10.1111/jar.12342

Love and resistance of mothers with intellectual disability from ethnocultural communities in Canada

2017· article· en· W2594666893 on OpenAlexaffabout
Laura Pacheco, David McConnell

Bibliographic record

VenueJournal of Applied Research in Intellectual Disabilities · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicDisability Rights and Representation
Canadian institutionsUniversity of Alberta HospitalUniversity of AlbertaQuebec Rehabilitation Research Network
Fundersnot available
KeywordsIntellectual disabilityOppressionResistance (ecology)IntersectionalitySchema (genetic algorithms)NarrativePsychologyGender studiesDevelopmental psychologySociologyPolitical sciencePsychiatry

Abstract

fetched live from OpenAlex

BACKGROUND: Mothers with intellectual disability are thought to be passive, dependent and in need of protection. This study contributes to a nascent body of research that challenges this schema, revealing how women with intellectual disability who are mothers resist oppression. METHODS: Narrative research methods underpinned by intersectionality theory were used to explore the lives of eight mothers with intellectual disability from various ethnocultural communities in Canada. A total of 33 in-depth interviews were conducted with these eight women over a period of 2 years. RESULTS: The lives of the women who took part in this study were marked by violence. The women resisted. Their resistance strategies addressed two kinds of relationships: their relationships with others and their relationship with themselves. CONCLUSION: The women in this study employed strategies of resistance, sometimes at great personal cost, to provide their children with a better life.

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)0.002
metaresearch head score (Gemma)0.006
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 score0.128
Threshold uncertainty score0.258

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0240.007
Scholarly communication0.0040.001
Open science0.0020.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.112
GPT teacher head0.378
Teacher spread0.267 · 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

Citations27
Published2017
Admission routes2
Has abstractyes

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