De-framing the Indigenous Body. Ethnography, Landscape and Cultural Belonging in the Art of Pia Arke
Bibliographic record
Abstract
The article presents the Greenlandic-Danish artist Pia Arke (1958-2007) and gives readings of various of her artworks, arguing that they attempt to negotiate a postcolonial condition. Arke was fascinated by the male European explorers and their fascination with the Arctic landscape, the Inuit and, not the least, the Inuit women. "Arctic Hysteria" is one of the main metaphors she used to describe this fascination - giving a whole new meaning to this concept invented by explorers and scientists to describe a special kind of pathology by which the inhabitants of the Arctic were classified and distinguished from other people. Where so many male intellectuals have responded to the European representations with resentment and anger, Arke chooses curiosity as her main approach. What did these men see? What made them see in this way? What did the women feel? How does it feel to take upon oneself this subject position of the cultural and sexual "Other"? Thus, instead of repeating the dichotomizing constructions, as is often the outcome of "Anti-Orientalist" or "Anti-Othering" studies, Arke re-lives and thereby out-lives and deconstructs the colonial representations, leaving the stage open for new images and encounters. Arke thus addresses some of the key problems in the discussion of representation, and her work becomes an important critique not only of the colonial representations itself, but of the way in which the postcolonial response has dealt with these issues, trying to bring us further and beyond.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.016 | 0.036 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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".