Bibliographic record
Abstract
In the middle decades of the 20 th century, Douglas Best of Mud Lake, alone on a trapline and stretched out on a tiny bunk inside a log tilt that measured about two metres by two metres and one metre high, while reminiscing about his friends weeks away by snowshoe, sang these words to himself:The crowd of jolly trappers, we are leaving one and all, The first hard work is started on the portage Muskrat Falls, And getting in our canoes boys, oh it seems so fine, Going up Grand River with our pole and tracking line.(Best, as cited in Borlase, 1993, p. 126) What is so remarkable about this song and the many others composed in such isolation is that there was anyone jolly at all.On the great Labrador peninsula, men would leave their wives and families from far flung isolated homesteads along Labrador's coast and major inland waterway Lake Melville to travel hundreds of miles to the height of land to trap and fur.Douglas Best refers in his first verse to the fall trip lasting from September to just before Christmas.The jolliness of the trappers together would last only a few days.They would reach major obstacles like the turbulent and fast Muskrat Falls and help each other line their canoes along the shore, amid the swirling, boiling rapids and pole upstream.Days of paddling rolled into days of walking with all their possessions for three months on their backs.Now up the river in canoe every man is found.Feeling very jolly for to reach his trapping ground.And setting out our traps we work from early until late.And every man a'wishing that the fur is taking bait.(Best, as cited in Borlase, 1993, p.126) Jolly?Perhaps.Exhausted for sure.The trapper's path consisted of 200-300 traps set in a zig zag fashion about a half kilometre apart.It took about three days to snowshoe the length of the path which was 100-150 kilometres long with tilts and tents approximately a half day's walk from each other.It was here at the end of a very long, arduous day which often began at 4am that songs were composed.Many trappers were illiterate.They went over and over the words and tune in their head as they laid in their bunk stoking the fire and trying to keep warm.Just fresh untrodden snow was there before them, And snowshoe tracks was all that lay behind, Alone they tramped the long and lonely traplines And knew content and ease and peace of mind.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 0.003 |
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".