Bibliographic record
Abstract
Lee Maracle burst onto the Canadian literary scene with her autobiographical novel Bobbi Lee, Indian Rebel (1975), and she continues to be an important political and literary voice. Her work transcends geographical and historical boundaries to express the plight of Indigenous women and children, the histories of colonialism and struggles for decolonization by Indigenous communities, and the spiritual and aesthetic sensibilities of her Salish ancestry. Maracle's writing is often polemical, using character development and plot to engage directly with her reader's assumptions about Indigenous peoples’ experiences of racism and colonialism, yet her work is also enlivened by the core tenets of orality and transformation that inhere in Indigenous storytelling traditions. Through the integration of political, aesthetic, and spiritual elements, her writing expresses the force and value of literary sovereignty by demonstrating how an Indigenous worldview integrates self, family, community, and culture to decolonizing ends. Her writing is importantly situated alongside that of a generation of Canadian authors, including Jeannette Armstrong, Beth Brant, Maria Campbell, and Beatrice Culleton Mosionier, who have refashioned Indigenous writing in order to formalize and define their activist aesthetics and politics.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.008 | 0.002 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.118 | 0.021 |
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".