Countering “Arctification”: Dawson City’s “Sourtoe Cocktail”
Bibliographic record
Abstract
Purpose The purpose of this paper is to focus on the Sourtoe Cocktail, a custom in Dawson City, Canada’s Yukon, in which participants drink a shot of alcohol with a dehydrated human toe in it. Springing from a local legend, the thrill-inducing Sourtoe Cocktail has attracted the attention of tourists. The paper reveals insights from this particular case study in order to discuss potential future tourism trends within the Arctic, especially in regard to the development of a sustainable tourism industry. Additionally, it illustrates how local communities can avoid negative effects of “Arctification.” Design/methodology/approach The case study is deconstructed through Dean MacCannell’s (1976) framework of sight sacralization. The Sourtoe Cocktail is analyzed based on the five stages of the framework, which helps to reveal the various elements at play at the local level. The framework specifically highlights linkages between society and the Sourtoe Cocktail as a product in order to understand how it became a tourist attraction. Findings The use of MacCannell’s sight sacralization framework reveals the intricate relationship of the Sourtoe Cocktail to both the Arctic and the local folklore of the Klondike Gold Rush. In addition, it is argued that the activity can serve as an example of avoiding “Arctification” processes for northern communities. Originality/value The originality of the study lies in the application of the sight sacralization framework to an ordinary object – a toe – instead of an object of inherent historical, aesthetic or cultural value. The paper proposes a complementary study to the recommendations provided in the Arctic Tourism in Times of Change: Seasonality report (2019) for the development of sustainable Arctic societies.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.023 | 0.013 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 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".