A Narrative Inquiry into Counsellor Trainees' Experiences of Working with Trauma
Bibliographic record
Abstract
With the increased attention paid towards the effects of trauma work on counsellors and psychologists in the last 35 years, a singular narrative has emerged that has deemed it a risky practice, leaving one susceptible to vicarious trauma, burnout, compassion fatigue, and a number of other possible negative consequences, and leaving very little space for alternative stories. From this dominant narrative, and my personal experiences during counsellor training, the research puzzle emerged. Coming alongside three counsellor trainees in a PhD counselling psychology program in Canada, I inquired into counsellor trainees’ experiences of working with trauma, while paying attention to social, cultural, institutional, and familial narratives (Clandinin & Rosiek, 2007) within which our experiences are nested. Attending to earlier landscapes that have shaped our views of trauma and trauma work, and experiences within and outside counsellor education programs, we co-composed narrative accounts to build understanding of our experiences. I explored with participants, “how have your past experiences shaped the way you approach trauma survivors? How have you been shaped by your experiences of working with trauma survivors?” Learning about the storied experiences of counsellor trainees was done with the aim of understanding how counsellor training programs can better facilitate personal and professional growth and development in counsellor trainees, and support students as they begin to learn about and encounter clients who have experienced trauma. Drawing on narrative inquiry, and the understanding that we lead storied lives (Connelly & Clandinin, 2006), I understand that individuals shape their lives through stories they live and tell and that are told about them and others. Situating our experiences in the three-dimensional narrative inquiry space (sociality, temporality, and place), (Clandinin & Connelly, 2000), opened up possibilities to ground our experiences contextually, and attend to different aspects of our experiences that shaped how we each came to learn and understand trauma as it lived in our own lives and the lives of our clients. From looking across the stories of participants emerged four narrative threads: (1) coming to construct what it means to have experienced trauma in different ways; (2) using the trauma lens to reflect on our own lives; (3) storying trauma into our personal and professional lives; and (4) making sense of trauma and vicarious trauma in the silences. Identifying these threads brought to light important considerations for how we teach about trauma and trauma work within counsellor education programs. They opened up new wonders and questions about trauma and vicarious trauma that would be applicable for consideration by professors in counsellor education programs, counsellor trainees, and clinical supervisors. The findings elucidated the importance of finding spaces to share stories within counsellor education programs, engaging in discussions about boundaries in counselling work, and attending to intersecting identities of counsellor trainees. Implications for supervision were also discussed, including defining the scope of supervision and creating spaces for discussions about the effects of trauma work. Additionally, the many misconceptions about vicarious trauma were notable and provided a clear and necessary need for improvement in teaching and supervision in counsellor training programs. Attending to these various aspects within counsellor training programs is pivotal towards heping students manage distress in their work and better prepare as they enter the field and engage in trauma work.
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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 | 0.011 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.019 | 0.016 |
| Scholarly communication | 0.009 | 0.008 |
| Open science | 0.003 | 0.010 |
| Research integrity | 0.003 | 0.008 |
| Insufficient payload (model declined to judge) | 0.002 | 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".