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Record W2117140196 · doi:10.1177/1049732314528068

Analysis of a Support Group for Children of Parents With Mental Illnesses

2014· article· en· W2117140196 on OpenAlexaff
Brenda Gladstone, Patricia McKeever, Mary V. Seeman, Katherine Boydell

Bibliographic record

VenueQualitative Health Research · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicFamily Support in Illness
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPsychologyFeelingMental illnessMental healthIntervention (counseling)Developmental psychologyMental health literacyMentally illEthnographyClinical psychologyMedical educationApplied psychologySocial psychologyPsychiatryMedicine

Abstract

fetched live from OpenAlex

We report an ethnographic analysis of a psycho-education and peer-support program for school-aged children of parents with mental illnesses. We conducted a critical discourse analysis of the program manual and observed group interactions to understand whether children shared program goals predetermined by adults, and how, or if, the intervention was responsive to their needs. Children were expected to learn mental illness information because "knowledge is power," and to express difficult feelings about being a child of a mentally ill parent that was risky. Participants used humor to manage group expectations, revealing how they made sense of their parents' problems, as well as their own. Suggestions are made for determining good mental health literacy based on children's preferences for explaining circumstances in ways they find relevant, and for supporting children's competencies to manage relationships that are important to them.

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)0.021
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation 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 score0.088
Threshold uncertainty score0.983

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0210.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.003
Science and technology studies0.0010.001
Scholarly communication0.0000.000
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 head0.247
GPT teacher head0.562
Teacher spread0.315 · 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 teacher head, 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

Citations50
Published2014
Admission routes1
Has abstractyes

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