Identity and Coping: Deaf Sign Language Interpreters and Secondary Traumatic Stress
Bibliographic record
Abstract
This article describes the results of a mixed methods study with 47 Deaf sign language interpreters (D-SLIs) and their experiences with secondary traumatic stress (STS). By replicating Daly and Chovaz (2020) research, this study contributes data based on the unique experiences of Canadian and American Deaf interpreters and allows us to contrast the findings to the original study with non-Deaf interpreters (ND-SLIs). The findings reveal that the majority of D-SLIs did not experience clinical levels of STS, compassion satisfaction, anxiety, or burnout. In looking at the results, one-third of the D-SLIs showed comparable levels of STS and compassion satisfaction but less burnout than the ND-SLIs. Recommendations are identified, including the need to offer secondary traumatic stress specific training for all SLIs. The study has implications for all sign language interpreters and interpreter educators in designing educational programs and professional development.
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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 | 0.000 | 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 | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".