The Sublime Excess of the American Landscape : Dances with Wolves and Sunchaser as Healing Landscapes
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.
Bibliographic record
Abstract
The author analyses the landscapes of the films Dances with Wolves by Kevin Costner and Sunchaser by Michael Cimino, considering them as "theatres of memory" in which numerous arts are "remediated" for the screen. Here the conflictual relationship Americans have with the native Other as an "obstacle" to the doctrine of Manifest Destiny is projected onto its landscapes, staged and recomposed on them. In Dances with Wolves, the hero's new name suggests the loss of his American subjectivity, his links with the natives and a revisionist version of Manifest Destiny. In Sunchaser also the east-west dynamic illustrates the hope for rebirth and rebellion. Here the "pyramidal sublime" of the mountain is the signifier that motivates the road movie of the two heroes. The sequence in which they ride on horses together with the natives condenses the landscape culture's various strata. Film landscapes are a part of the contemporary archive of remediations : they instigate a conflictual memory and produce emblems of cinematic iconological "excess."
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it