Blame, Shame, and Atonement: Greenlandic Responses to Racialized Discourses about Greenlanders and Danes
Bibliographic record
Abstract
Outside Greenland, many believe that the Greenlandic name for Greenland means “Land of the People.” However, the Greenlandic word for human being or person is inuk (plural: inuit ), and Greenland is called Kalaallit Nunaat not Inuit Nunaat . Kalaallit is the West Greenlandic term for modern-day Greenlanders who trace their ancestry along two lines: to the Inuit in the West and the Scandinavians in the East. During the first half of the twentieth century, this mixed ancestry was an important argument for the Greenlandic claim for recognition and equality. This article examines a literary source, Pavia Petersen’s 1944 novel, Niuvertorutsip pania (The outpost manager’s daughter). The novel’s female protagonist, who is of mixed ancestry, is staged as a national symbol for modern Greenland, a country that appropriates European culture while remaining Greenlandic. After the end of the colonial period, the Inuit legacy and Greenlanders’ status as an Indigenous people became important drivers of the Greenlandic claim for independence. In present-day Greenlandic film and literature, Danes are often left out of the story entirely, delegitimizing much of society’s genetic and cultural legacy. Naturally, this poses a problem for the Greenlanders who not only number Europeans among their remote ancestors but also live with a dual identity, with one Danish and one Greenlandic parent. This article illustrates that the notion of “mixed-breed” or “half” Greenlanders is currently regarded with such ambivalent feelings because it accentuates unresolved tensions among the ethnic groups, including the continued dominance of the outdated (colonial) affective economies in Danish-Greenlandic relations.
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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 | 0.008 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.043 | 0.056 |
| Scholarly communication | 0.011 | 0.009 |
| Open science | 0.002 | 0.013 |
| Research integrity | 0.006 | 0.010 |
| Insufficient payload (model declined to judge) | 0.004 | 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".