A Hero in the Friendly Arctic: Deconstructing Vilhjalmur Stefansson's Rhetorical Maneuver
Bibliographic record
Abstract
The article deals with Arctic explorer and anthropologist Vilhjalmur Stefansson's self-presentation in the expedition account The Friendly Arctic: The Story of Five Years in Polar Regions (1921), which tells the story of his travels and trials in the Canadian High Arctic in the years between 1913-1918. The account has been considered a key text to Stefansson's Arctic career, and provides a textbook example of his characteristic theory of living off the country in the so-called Eskimo way. Against the background of Stefansson's debated position as Arctic expert and visionary, I ask if it is possible to read the kind of criticism with which Stefansson frequently was met as rooted in some of the narrative aspects of his account. The narrative persona or implied author is a central element in the literature of exploration, as several literary scholars have pointed out. My reading is centred around the implied author of The Friendly Arctic, which I argue must be read in light of the sometimes conflicting roles given to Stefansson as protagonist and narrator in his own story. Close-readings of passages from the account raise the dilemma of how it is possible to present oneself as a hero in an essentially friendly Arctic.
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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 | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.017 | 0.031 |
| Scholarly communication | 0.013 | 0.005 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".