My Lived Experience of Anishinaabe Mothering
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
Using an arts-based inquiry has been a liberating experience for me in exploring my lived experience as an Anishinaabe mother. Marrying arts-based inquiry with indigenous autoethnography has had a centering effect on my research. This arts-based autoethnography has opened my heart to meanings that I had not considered. I had never perceived research to be a process where photos and my own story could capture my feelings and contribute to understanding the complexity of mothers as teachers among First Nations people. Using photography was a process of inquiry through my heartfelt passion, where words may have failed me. Wilson (2008) reiterates the importance of “checking your heart,” which he writes is a “critical element in the [Indigenous] research process” (p. 60). He believes that by bringing no harmful intention or feelings to the work we can work from a place of the heart like a ceremony. For me this work has helped me understand myself on another level, which has contributed to my growth as a researcher and a mother. I hope this visual essay will encourage other First Nation mothers to explore their relationships with their children and the complexities amongst our families. What is it that we collectively perceive to be our role as mother? What is our collective lived experience? Do they relate? What are our lived experiences of Anishinaabe Mothers in cities? What about birthing, how do we retain a cultural connection to this sacred life event? Why is this important? These are a few of the many questions that an arts-based Indigenous autoethnography could explore. I share my exploration.
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.
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 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it