Community of the north: Postnationality in contemporary Arctic video art
Bibliographic record
Abstract
This thesis aims to analyze the use of new media by contemporary Arctic artists as a means of redefining their region against the popularly accepted separation of Norway, Sweden, Finland, Iceland, Greenland, Canada, and Alaska as individual nation-‐states, and toward the community of the Arctic region, using themes of language, land, cosmology, folklore, embedded aesthetics, values, symbols, and stories. It is my belief that these artists are creating important works that constitute contemporary self-‐production of a post-‐national Arctic cultural future. My discussion focuses on three artists, Ólöf Nordal, Catarina Ryöppy, and Tanya Tagaq, who demonstrate the use of nativism and spotlight everyday repetitive life experiences (de Certeau) to define their individual and collective identities as part of a postnational Arctic community. Each of these artists utilizes video art as a unique medium that offers subaltern communities a counter-‐discursive voice and an ability to control their identity representation from an “interstitial space” (Bhabha).\nNordal, Ryöppy, and Tagaq utilize the concepts of community, postnationality, and the appropriation of film works to express their individual and collective identity as part of the Arctic in accordance with their own models of interpretation. Nordal self-‐represents with the utilization of folklore, Ryöppy relies on manipulations of time and space to highlight her identity in relation to nation-‐state boundaries, and Tagaq fully immerses herself in the techniques and arenas of mass media to spread a new narrative of Arctic community that defies previous colonial representation.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.015 | 0.012 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.002 |
| 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".