Are We Failing FAmILy?: A Situational Analysis of Family Perspectives on Functioning While in Out-of-home Care
Bibliographic record
Abstract
Despite Canada having the highest rate of children living in out-of-home care throughout the world (Brownell & McMurtry, 2015; Gilbert et al., 2012; Thoburn, 2007) there is scant Canadian data or research pertaining to these children and their families. Research has shown that a child’s family functioning level is highly correlated with successful out-of-home mental health care treatment outcomes, discharge, behavioural improvement, and stability (Sunseri, 2004, 2019). Family functioning models and assessments that have not been normed upon Canadian families, or that organise family functioning related to task accomplishment, are being utilised to make life-changing decisions within out-of-home care settings. Harnessing my experiences as a front-line counsellor, family therapist, manager, administrator, and passionate out-of-home care advocate I set about asking the research question “What aspects of functioning as a family unit are most important and most immediate to families with a child in out-of-home mental health care?” in order to create theory that could provide better comprehension of what functioning means for these families. I utilised Adele Clarke’s (Clarke, 2005, 2007, 2009; Clarke et al., 2015, 2018) methodological extension of Situational Analysis, Kathy Charmaz’s (2014) Constructivist Grounded Theory Coding structure, and Nora Bateson’s (2016) concept of “warm” and contextualised data to get as close as possible to the situated knowledge of family functioning with a child in out-of-home care. Following maximum variation theoretical sampling, 13 semi-structured interviews were conducted with 12 families and 42 individual family members engaging in out-of-home mental health care. Through my analysis 72 family functioning tasks, or core competencies, practiced by families arose and were categorised within five core areas: coping with disconnected systems, managing stigma and blame, attending to the emotional needs of the whole family, living through and living with mental health issues, and creating togetherness through separation. The resulting theory is that families, as the unacknowledged and silenced front-line workers, have to function with, and within, the many elements that surround the reality of living with a family member in out-of-home mental health care.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.013 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.009 | 0.008 |
| Scholarly communication | 0.006 | 0.007 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".