Healing Through Storytelling: Indigenising Social Work with Stories
Bibliographic record
Abstract
Indigenous storytelling is an important site of knowledge for Indigenous peoples around the world. It is imperative that studies of Indigenous people incorporate a style that matches the interconnectedness of Indigenous knowledge. We use an inter-disciplinary approach to examine how Indigenous storytelling can inform current social work practice and pedagogy with the end goal of promoting healing for Indigenous people. Utilising an Indigenous research paradigm, we locate Indigenous knowledges through modern storytelling outlets, including novels, graphic novels, poetry and podcasts. Through conventional content analysis, we identify how a sample of Indigenous storytellers based in a settler-colonial state (Canada) navigates through traumas such as residential schools and sexual violence. For the people whose stories we examine, these traumas prove to be only a part of the grief they experience at the loss of their connection to family and culture. Through this sample of Indigenous storytelling, we see that the best possibility for healing comes from reconnecting with cultural practices and by resisting settler-colonial social work practices.
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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 | 0.002 | 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 | 0.036 | 0.001 |
| Scholarly communication | 0.001 | 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".