From Stolen Childhoods to Reclaimed Lives
Bibliographic record
Abstract
This paper offers a feminist analysis of Five Little Indians by Michelle Good, focusing on the lived experiences of Indigenous women within the devastating legacy of the Canadian residential school system. Established in the late 19th century, this system forcibly removed Indigenous children from their families, intending to erase their culture and assimilate them into colonial society. Through the lens of Indigenous feminist theory and intersectional praxis, the paper examines how the novel recounts the multiple traumas, physical, emotional, sexual, and cultural, inflicted on characters like Clara, Lucy, and Maisie. The novel subverts Indigenous women’s stereotypes by featuring them in full and diverse experiences and struggles. The paper is a detailed examination of sexual violence themes, forced motherhood, and the effort to establish Indigenous women’s identities in the wake of trauma. Through qualitative textual analysis and close reading, the paper reveals how colonial institutions, embodied in characters like Sister Mary and Father Levesque, perpetrated patriarchal violence to multiply the system’s erasure of Indigenous identity and kinship relations. The research highlights the novel’s exploration of intergenerational trauma, disrupted kinship, and the loss of a stable home, while foregrounding the resilience and determination of Indigenous women to survive and rebuild their lives. By centring Indigenous women’s voices and experiences, this paper contributes to broader feminist and decolonial conversations on survival, memory, and the transformative power of storytelling in postcolonial contexts.
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.
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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.024 | 0.037 |
| Scholarly communication | 0.010 | 0.005 |
| Open science | 0.002 | 0.011 |
| Research integrity | 0.001 | 0.005 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".