Reimagining Attawapiskat: Indigenous youth voices, community engagement and mixed-media storytelling
Bibliographic record
Abstract
Widely circulating textual and visual discourses that represent communities shape public perception and awareness. This article discusses a research collaboration between Indigenous and non-Indigenous researchers and artists to reflect on co-creating the Reimagining Attawapiskat project with youth artists. Attawapiskat is an Indigenous community that became the focus of widespread media attention following several State of Emergency declarations due to factors ranging from inhabitable housing conditions to escalating suicide attempts. Informed by Indigenous storytelling research methods and arts-based community-engaged research, the mixed-media storytelling approach advanced here aims to challenge and interrupt mainstream media narratives that frame Attawapiskat as a troubled community constantly in crisis. This collaboration contends with the shadows of Canada’s settler-colonial context through community stories that counter hegemonic portrayals. Reimagining Attawapiskat sheds light on the nuances of community health in Attawapiskat through a collection of youth voices and place-based digital stories that centre Cree life, well-being and culture.
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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 | 0.006 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.019 | 0.017 |
| Scholarly communication | 0.014 | 0.004 |
| Open science | 0.002 | 0.012 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".