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Record W4403755942 · doi:10.1177/17446295241296215

“They helped me stand on my own two feet”: Canadian parents with intellectual disabilities in child protection

2024· article· en· W4403755942 on OpenAlexafffundabout
Munazza Tahir, Virginie Cobigo

Bibliographic record

VenueJournal of Intellectual Disabilities · 2024
Typearticle
Languageen
FieldPsychology
TopicChild Abuse and Trauma
Canadian institutionsUniversity of Ottawa
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsPsychologyIntellectual disabilityGerontologyPsychiatryMedicine

Abstract

fetched live from OpenAlex

Research on the lived experience of Canadian parents with intellectual disabilities involved in child protection is limited, particularly inclusive research with parents with intellectual disabilities involved in Canada's changing child protection system. This inclusive study was done in collaboration with a co-researcher with intellectual disabilities who had lived experience as a parent. Thirteen parents from three Canadian regions participated in semistructured interviews about their involvement in child protection. Four major themes emerged in the findings: 1) key supports that contributed to positive outcomes; 2) parents' attitudes toward child protection agencies and perceived attitudes about themselves; 3) systemic barriers impacting accessibility and the child protection experience; and 4) parents' advice to other parents and professionals in child protection. This study provides a promising picture of child protection agencies as a key support despite existing barriers. Implications for social service providers are offered and areas for further exploration are discussed.

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)0.003
metaresearch head score (Gemma)0.007
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 score0.071
Threshold uncertainty score0.206

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0250.009
Scholarly communication0.0030.002
Open science0.0010.003
Research integrity0.0010.003
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 head0.033
GPT teacher head0.292
Teacher spread0.259 · 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
Published2024
Admission routes3
Has abstractyes

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