Expanding Materially-Instantiated Social & Spatial Relations: Almanac of the Dead as a Reconceptualization of History & Modernity
Bibliographic record
Abstract
My study engages Leslie Marmon Silko’s Almanac of the Dead (1991) with Thomas Edison’s short film, “Sioux Ghost Dance,” from Buffalo Bill’s Wild West Show (c.1894). I will demonstrate how Almanac re-imagines traditional social and spatial arrangements, revealing the historically-specific space of social relations and re-announcing the spatial and temporal proportions of that space. The novel’s re-mapping of the Americas constitutes an alternatively-networked politics of pure antagonism that simultaneously betrays the discord of “coherent” networks and territorially-confined forms of modernity, but also the antagonism that belies the identitarian subject him/herself. This paper elaborates Almanac ’s reading of capitalist networks and other Euro-American epistemologies as configuring a logic of stasis. Aligning Edison’s film with moments from the novel, I argue that such spatializations imagine actors within a blank space outside of history, figuring them as static scenery to the progress of modernity. Highlighting the virtual and material entanglement of spatial and social relations, Silko’s Almanac of the Dead asserts that social relations (as material practices) are limited to—and thus refigured by—the spatial formations that they actualize. The novel’s materialist strategy for resistance evades multiculturalism’s politicized and territorially-confined model of identity. Encountered in this manner, I argue that Silko’s novel performs a necessary re-configuration of alternatives to existing, static nationalisms and liberal multicultural identity politics. Key words : Silko; Agonism; Epistemology; The Americas; Marxism; Territory; Identity Politics
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.012 | 0.076 |
| Scholarly communication | 0.012 | 0.014 |
| Open science | 0.001 | 0.009 |
| 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".