Making Enemies: War(b)ordering in Norwegian Extreme Right Discourse
Bibliographic record
Abstract
This article examines discursive practices of (b)ordering in outputs circulated by a formerly state-funded, extreme-right civil society organization, the Human Rights Service (HRS). Focusing on how an antagonistic relational structure is systematically encouraged between “non-Western,” minoritized populations and Norwegian majorities, I assess the fundamental components of a semiotics of war. The study develops the concept of war(b)ordering to describe how HRS systematically invites Norwegian majorities to perceive minoritized populations as collective enemies through three discursive frames: (a) citizen-soldier subjectivity, (b) a narrative of secret invasion, and (c) visual differential representation. Through a description of these frames underlying HRS’s representations, the article argues that the Norwegian state’s funding and mandating of this organization as an expert actor that is authorized to provide the public with knowledge about immigration and integration has conflicted with its human rights obligation to prevent racial discrimination.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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".