Two Sagas from New Iceland: Reference and Allusion in Gimli Saga and Icelandic River Saga
Bibliographic record
Abstract
When Manitoba’s Icelandic settler community composed its local history books two of the titles included the term saga: Gimli Saga (1975), authored by The Gimli Women’s Institute, and Icelandic River Saga (1985), authored by local historian Nelson Gerrard. By using the term saga, these local histories are set within and evoke an extended Icelandic historiographical tradition. This article introduces the Icelandic saga as a literary form and surveys the history and practice of local history writing, focusing particularly on the genre’s significance in Canada. The central argument draws on a comparison between select episodes from the so-called Vínland sagas (Grœnlendinga saga and Eiríks saga rauða) with scenes from Gimli Saga and Icelandic River Saga, the latter selected for their apparent textual references and allusions to the aforementioned medieval sagas.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.017 | 0.010 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 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".