Landscape and Vision in Gretel Ehrlich’s This Cold Heaven: Seven Seasons in Greenland
Bibliographic record
Abstract
<p align="left">Depicting the narrator’s repeated travels to the northwestern coast of Greenland, Gretel Ehrlich’s <span style="font-family: TimesNewRomanPSMT;"><em><span style="font-family: TimesNewRomanPS-ItalicMT;">This Cold Heaven </span></em><span style="font-family: TimesNewRomanPSMT;">aims to portray the landscapes of Greenland in a </span></span>way that frees them from the constraints of the visual ideology associated with Western culture’s idea of landscape. This, however, is no easy task in a natural environment dominated by wide and grand views that seem to invite the detached observer’s ordering vision. This article shows how Ehrlich’s text uses Inuit narratives and ontologies that share perspectives with feminist theories on space and subjectivity in order to challenge our Western modern culture’s conceptions of vision and landscape. The narrator’s experiences of dogsled travel in landscapes determined by weather, ice and light conditions create novel sensations that display and disrupt the boundaries of the physical environment as well as of Western conception of the subject. In this manner Ehrlich’s travel narrative gradually develops away from a rationalist and objectifying form of geography towards a different and more embodied perception of landscape that acknowledges the relational and dynamic nature of Greenland’s icescapes. This rewriting of landscape implies an understanding of vision as an integral part of a bodily whole, in constant interaction – or even co-constitution – with the environment.</p>
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 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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".