Bibliographic record
Abstract
"A bold and profound work by Haudenosaunee writer Alicia Elliott, A Mind Spread Out on the Ground is a personal and critical meditation on trauma, legacy, oppression and racism in North America. In an urgent and visceral work that asks essential questions about Native people in North America while drawing on intimate details of her own life and experience with intergenerational trauma, Alicia Elliott offers indispensable insight and understanding to the ongoing legacy of colonialism. What are the links between depression, colonialism and loss of language--both figurative and literal? How does white privilege operate in different contexts? How do we navigate the painful contours of mental illness in loved ones without turning them into their sickness? How does colonialism operate on the level of literary criticism? A Mind Spread Out on the Ground is Alicia Elliott's attempt to answer these questions and more. In the process, she engages with such wide-ranging topics as race, parenthood, sexuality, love, mental illness, poverty, sexual assault, gentrification, writing and representation. Elliott makes connections both large and small between the past and present, the personal and political--from overcoming a years-long history with head lice to the way Native writers are treated within the Canadian literary industry; her unplanned teenage pregnancy to the history of dark matter and how it relates to racism in the court system; her childhood diet of Kraft dinner to how systematic oppression is linked to depression in Native communities. With deep consideration and searing prose, Elliott extends far beyond her own experiences to provide a candid look at our past, an illuminating portrait of our present and a powerful tool for a better future."--
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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.018 |
| Scholarly communication | 0.011 | 0.011 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.003 | 0.010 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".