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Record W2560826080 · doi:10.1111/cfs.12340

‘Not a good person’: family stigma of mental illness from the perspectives of young siblings

2016· article· en· W2560826080 on OpenAlexaff
Maria Liegghio

Bibliographic record

VenueChild & Family Social Work · 2016
Typearticle
Languageen
FieldPsychology
TopicFamily Caregiving in Mental Illness
Canadian institutionsYork University
Fundersnot available
KeywordsMental illnessSiblingBrotherMental healthPsychologySisterThematic analysisStigma (botany)Developmental psychologySocial stigmaQualitative researchPsychiatryMedicineFamily medicineSociology

Abstract

fetched live from OpenAlex

Abstract The purpose of this paper is to critically examine family stigma as one form of the stigma of mental illness in child and youth mental health. Presented are the outcomes of a thematic content analysis of in‐depth, semi‐structured interviews conducted with seven (n = 7) young siblings, ages 13 to 21 years old, with a brother or sister identified as having a mental‐health issue. The focus of the interviews was on the ways the siblings experienced their other sibling's mental health and how those experiences shaped their sense of self and family. From the analysis, young siblings had predominately negative experiences, struggled with making sense of their brother or sister and the family as ‘flawed’ against the mental illness as ‘bad’ and experienced considerable family stress and overt family stigma. Current practice theories fail to consider the complexity of these factors and, in doing so, fail to adequately explain the nature and extent to which stigmatization occurs for immediate family members. The importance of peer support and understanding stigma in social work practice with children and their families is 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)0.005
metaresearch head score (Gemma)0.009
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 score0.014
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0070.008
Scholarly communication0.0030.003
Open science0.0010.004
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 head0.021
GPT teacher head0.274
Teacher spread0.253 · 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

Citations34
Published2016
Admission routes1
Has abstractyes

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