Þannig er saga okkar“: Um sagnritunarsjálfsögur og skáldsöguna Hundadaga eftir Einar Má Guðmundsson
Bibliographic record
Abstract
The ambiguity between reality and fiction haunts Einar Már Guðmundsson’s novel Hundadagar (Dog Days, 2015), as it is a fictional narrative about factual, historical figures and events, such as Jörgen Jörgensen, Rev. Jón Steingrímsson, Finnur Magnússon and Guðrún Johnsen, while the same can be said about many other novels labeled as postmodernism. Canadian literary scholar Linda Hutcheon coined the concept of historiographic metafiction to describe fictions as such, which are “intensely self-reflexive”, while “paradoxically lay claim to historical events and personages”. Hutcheon suggests that historiographic metafictions fully illuminate the very way in which postmodernism entangles itself with both the epistemological and ontological status of history. This paper begins with an introduction to Hutcheon’s theoretical contributions on postmodernism, postmodern literature and the relationship between history and fiction, followed by a reading of Hundadagar as a historiographic metafiction. The narrator’s strategies—such as parataxis, metanarrative comments, we-narrative discourse and documentary intertext—largely indicate an imitation, a revelation, or say, a parody of the process of historian’s writings. The paper further suggests that it is the Icelandic financial crisis in 2008 that prompts the narrator to revisit the 18. and 19. century, since the financial crisis takes the role of a rupture of the Enlightenment ideals, leading to disorder and chaos. Moreover, the narrator finds an uncanny similarity between the past and the present, as if the history has been repeating itself. The spectre of history keeps (re)appearing in a deferred temporality. While revisiting the past, the narrator also (re)visits the present in an allegorical way. In a word, as a historiographic metafiction, Einar Már Guðmundsson’s Hundadagar is “fundamentally contradictory, resolutely historical, and inescapably political”, just as Hutcheon’s perception of postmodernism.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.022 | 0.010 |
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".