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Record W4311298579 · doi:10.1080/17405904.2022.2152063

Unfit and cast aside: portrayals of mothering with intellectual disability in Québec court reports

2022· article· en· W4311298579 on OpenAlexaffabout
Laura Pacheco, Rahel More, Marjorie Aunos, Rachelle Rose

Bibliographic record

VenueCritical Discourse Studies · 2022
Typearticle
Languageen
FieldPsychology
TopicChild Abuse and Trauma
Canadian institutionsBrock UniversityMcGill UniversityMemorial University of Newfoundland
Fundersnot available
KeywordsIntellectual disabilityScholarshipCritical discourse analysisIdeologyContext (archaeology)SociologyAsideInjusticePower (physics)Discourse analysisDisability studiesGender studiesPolitical sciencePsychologyLawPolitics

Abstract

fetched live from OpenAlex

Many mothers with intellectual disabilities lose their parental rights due to child welfare (CW) concerns. Despite the growing interdisciplinary scholarship on parenting with intellectual disabilities, there is scant research that has explored the discursive practices embedded within CW or family courts involving mothers with intellectual disabilities. The aim of this study is to explore portrayals of mothering with intellectual disability in CW court reports filed in Québec, Canada. A three-level critical discourse analysis was performed, focusing on 10 reports that were retrieved from a publicly available legal database, and their larger discursive societal context. Analysis highlighted unequal power relations as discursive practice underpinned by the following discursive patterns: (1) The ideal caregiver vs the unfit mother (2) Devalued voices of mothers with intellectual disability (3) Professionals as holding authoritative knowledge and (4) Decision-making based on the best interest of the child. Revealing the hidden ideological assumptions embedded in discourse can help to challenge and confront injustice faced by mothers with intellectual disability within the CW system.

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)0.006
metaresearch head score (Gemma)0.020
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 score0.148
Threshold uncertainty score0.310

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.020
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0050.004
Science and technology studies0.0160.014
Scholarly communication0.0080.002
Open science0.0020.004
Research integrity0.0020.002
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 head0.047
GPT teacher head0.383
Teacher spread0.336 · 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

Citations7
Published2022
Admission routes2
Has abstractyes

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