The role of cultural heritage in the geopolitics of the Arctic: the example of Franklin’s lost expedition
Bibliographic record
Abstract
Sir John Franklin’s ships departed from Greenhithe port in Great Britain (1845) with the aim of discovering the Northwest Passage in what is now Canada. During their journey, both ships got stuck in ice near King William Island and eventually sank. Over time, searches were held in order to find both wrecks. More recently, under the Conservative Government of Stephen Harper (2006–2015) there was renewed interest regarding what is now referred to as Franklin’s lost expedition. Searches resumed and narratives were formed regarding the importance of this expedition for Canadian identity. This article is embedded in a sociocultural perspective and will examine the role that cultural heritage can play in the geopolitics of the Arctic while highlighting the process of ‘patrimonialization’ that the Franklin’s lost expedition has undergone during Harper’s term in office. Based on discourse analysis, it brings out the main narratives that surrounded the modern searches of Franklin’s wrecks which are related to history, national historic sites, mystery, diversity, importance of Inuit knowledge and information gathering. This article demonstrates that these narratives were intended to form a new Canadian northern identity and to assert Canada’s sovereignty over the 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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.039 | 0.036 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".