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Record W3043955545

Resurgence: Irony and Urban Indian Knowing in Tommy Orange’s There There

2020· article· en· W3043955545 on OpenAlex

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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenuePostcolonial text · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicModern American Literature Studies
Canadian institutionsnot available
Fundersnot available
KeywordsIronyIndigenousMythologyOrange (colour)HistoryHEROMotif (music)SociologyGender studiesAestheticsLiteratureArtEcology
DOInot available

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.943
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.023
GPT teacher head0.237
Teacher spread0.214 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it