Bibliographic record
Abstract
While the Klondike Gold Rush is one of the most widely known events in Canadian history, particularly outside Canada, the rest of the Yukon’s long and diverse history attracts little attention. Important developments such as Herschel Island whaling, pre-1900 fur trading, the post-Second World War resource boom, a lengthy struggle for responsible government, and the emergence of Indigenous political protest remain poorly understood. Placing well-known historical episodes within the broader sweep of the past, Land of the Midnight Sun gives particular emphasis to the role of First Nations people and the lengthy struggle of Yukoners to find their place within Confederation. This broader story incorporates the introduction of mammoth dredges that scoured the Klondike creeks, the impressive Elsa-Keno Hill silver mines, the impact of residential schools on Aboriginal children, the devastation caused by the sinking of the Princess Sophia, the Yukon’s remarkable contributions to the national First World War effort, and the sweeping transformations associated with the American occupation during the Second World War. Land of the Midnight Sun has long been the standard source for understanding the history of the territory. This third edition includes a new preface to update readers on developments in the Yukon’s economy, culture, and politics, including Indigenous self-government.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.080 | 0.024 |
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".