Facilitating well-being with female social workers in northern Canada: A participatory narrative inquiry
Bibliographic record
Abstract
Summary Limited information exists on the lived experiences and well-being of female social workers providing mental health services in northern Canada. Participatory narrative inquiry was utilized as a collaborative approach to gather stories from/with outsider female social worker mental health providers herein referred to as providers. Ten providers participated in this project through individual and group semistructured interviews in three phases. Transcribed interviews from each phase were analyzed through participatory narrative analysis to collaboratively generate themes, while ensuring the context of participant stories was maintained. Findings Collaborative participatory narrative analysis of participant stories revealed the following major themes: the work is complex and impactful including direct and/or indirect secondary trauma; safety and well-being supports are required; relationships are central to the work; and personal growth and understanding the trauma history of Indigenous peoples is crucial to carrying out northern trauma services. Applications/conclusion Providers believe that they need to feel safe and supported to protect their personal well-being and, in turn, to effectively carry out trauma services. However, current northern work environments lack networking, clinical supervision, and the safety supports required to meet the providers’ needs. Well-being support recommendations for providers included: adopt a strength-based attitude/outlook as well as an effective long-term relational team-based practice approach, improve networking through a “community of practice,” develop trauma-informed northern work-specific competencies and training, and advocate for safety improvements as well as governance agency provider supports.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".