Anatomy of the national myth: archetypes and narrative in the study of nationalism
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract This paper argues that recognising types of underlying narrative form which repeatedly occur across cases is critical to the study of nationalism. It proposes a method borrowed from the literary theory of Northrop Frye – archetypal criticism – for identifying the four basic forms of emotional architecture that characterise the myths of particular nations: tragic, romantic, comic and satiric. The study of nationalism has long acknowledged the importance of narrative in political behaviour. But consideration of how distinct types of narratives affect specific emotions is missing. The ‘narrative turn’ in the social sciences, which has responded to instrumentalist scepticism, has thus far focused on the cognitive functions of narrative. That is, how narrative influences the acquisition and interpretation of information and how stories are used to construct or reinforce a collective understanding of events. The undertheorised dimension of narrative in nationalism relates to the emotional structures embedded within narrative. This is where this paper makes its contribution.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 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 it