Trauma-Informed Practice in Ontario University Writing Centres
Bibliographic record
Abstract
Trauma is ubiquitous, including in post-secondary settings, meaning that trauma-affected individuals are present in every classroom or service setting. While research has investigated the engagement of post-secondary instructors with student trauma disclosures, this work has not extended to cover the unique role of post-secondary writing centre staff. Writing tutors are employed to assist students with their writing and research skills; however, they may encounter trauma narratives through written assignments or verbal disclosures. Writing consultants often labour under a degree of precarity and lack control over curricular and assignment design, giving them little preparation before encountering emotionally challenging material. As a ‘helping profession,’ they may be at risk of secondary trauma, re-traumatization based on personal trauma histories, or unsustainable levels of emotional labour. This project employs a critical disability lens and an equity-centred trauma-informed framework to examine the experiences of university-based writing centre staff in Ontario, Canada as they relate to student trauma. Semi-structured interviews were employed to explore how writing centre staff perceive and narrate their engagement with student trauma and how this may relate to trauma-informed pedagogical practices. Based on a Reflective Thematic Analysis, several themes are explored, including the relationship between writing centre structure/labour conditions and trauma-informed practice, types of emotionally challenging interactions, strategies tutors employ to engage with students during such sessions, and gaps in ability to provide trauma-informed service. These themes provide insight into tutors’ experience with student trauma and imply recommendations to improve staff and student well-being through engaging with trauma-informed practices in the writing centre.
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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".