Humble Dreams: An Historical Perspective on Yukon Agriculture Since 1846
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Hudson's Bay Company traders grew the earliest Yukon agricultural crops as they tried to augment their insufficient supplies. Yukon agriculture went from meagre beginnings in the mid-1800s to peak production during the Klondike Gold Rush when farmers prospered by storing and marketing their produce through the late fall and winter. Until the mid-1950s, farms around Dawson City, Mayo, and along the Yukon River produced healthy crops of vegetables and hay, delivered economically by a fleet of sternwheelers. A change away from horse-drawn equipment and vehicles, the loss of the riverboat fleet, and a continued decline in population caused a reduction in the number of Yukon farms. The construction and continued improvement of the Alaska Highway made easily imported produce more economical, and the growth of Whitehorse settled the majority of Yukon's population an inconvenient distance from the best agricultural land. A small number of farms continued to supply central Yukon but the more populated south grew dependent on imported produce and farmers focused more on forage crops. Cool, short growing seasons remain an obstacle but northern crops have proven to be equal in quality and quantity to southern produce. However, a low territorial population and competition from southern markets has hindered the growth of Yukon's agricultural industry.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.002 |
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 it