Resurgence: Irony and Urban Indian Knowing in Tommy Orange’s There There
Bibliographic record
Abstract
Tommy Orange’s novel _There There_ (2018) uses irony to immerse readers in a life-and-death confrontation of newly reciprocal time and space. Urban Indian ways of knowing unsettle national U.S. myths to reveal that Native epistemologies have been present all along, and are still here; the past is active in a circle of time that enfolds and confronts everyone who walks this land, and cities arise from and remain connected with the earth. As part of such knowing, irony is not just key to the mass shooting incident he depicts, it is also structural and national. Orange is an enrolled citizen of the Cheyenne and Arapaho tribes; his novel reveals that history is still in progress. Both Indigenous and non-Indigenous people are targets of the epistemologies that urge respect, responsiveness, relationship. In such resurgence, tribal and non-tribal nations open to decolonial metamorphosis even in the face of ongoing violence.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.022 | 0.022 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.005 | 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".