Enhancing critical social work practice: Using text-based vignettes in qualitative research
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
There exist ongoing calls among social work scholars and practitioners to cultivate applied knowledge of critical and emancipatory practice. In this paper, I explore the utility of text-based vignettes as instruments that can be used to elicit insight from marginalized service users on critical social work practice. To do this work, I draw on data from interviews with 20 transgender and gender diverse (TGD) social service users, along with 10 social workers, whose responses to a text-based vignette were originally used to build an understanding of the constituents of equitable social work practice with TGD people. Incorporating critical pragmatism as a conceptual framework and constructivist grounded theory as a methodological orientation, I analyze data from this study as an exemplar that substantiates the promise of using text-based vignettes in qualitative social work research to generate knowledge of critical social work practice. Specifically, I demonstrate how text-based vignettes in this study (1) contextualized the meaning, significance, and impact of oppression for service users, (2) built insight on practice that reflects solidarity and allyship, and (3) identified opportunities for social workers’ reflexive use of professional power to effect change. Accounting for the tensions between empiricism and critical praxis in social work, I consider the promise of incorporating text-based vignettes to develop empirical social work literature that is rooted in the voices of marginalized service users.
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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 | 0.042 | 0.073 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.026 |
| Science and technology studies | 0.013 | 0.003 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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 it