Summertime Politics: Cultural Resurgence, Resource Sovereignty, and the Aasivik Movement
Bibliographic record
Abstract
WhileHome Rulenegotiations between Kalaallit Nunaat and Denmark were underway, the Aasivik summer festivals, founded in 1976, proposed an alternative model of collective politics. Borrowing its name from a term for historical gathering sites, the modern Aasivik movement hosted debates on a wide range of topics, bringing political activity into settlements and camps. Although Aasivik’s influence on Kalaallit Nunaat’s political history has been widely recognized, the movement’s theoretical complexity has gone largely unacknowledged. In this article, I discuss several key episodes from the festival’s first decade, emphasizing how Aasivik mobilized cultural heritage as a means of responding to social inequalities introduced by Danish colonial rule. First, I outline Aasivik’s roots in local and global Indigenous decolonial movements and describe how these influences led activists to analyze topics such as dispossession, labor, Marxist thought, and collective land access in the festival’s early debates and public statements. I then examine how the presence of customary performance and avant-garde theater at several Aasiviit intersected with the movement’s political positions, focusing on the activities of the Tuukkaq Theater and the revitalization of uaajeerneq (mask dancing). Finally, I discuss the significance of Aasivik’s land-based model of politics for contemporary debates in Indigenous critical theory.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.019 | 0.030 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.003 |
| 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".