The Long Journey Home, 96 Miles Up the Porcupine River / Ch’oodeenjik, Yukon
Bibliographic record
Abstract
... It was the last long weekend of the fall, and likely our last trip to Driftwood that year. We’d had an unlucky hunting season. The caribou were not near our community and we had damaged our boat trying to go up the shallow Crow River (Chyahnjik). With no caribou around, we decided to take the boat far up the Porcupine River, past Gopher Bluff (Tthaa Vihk’aa) to Porcupine Lake (Dinjik Goonli), which everyone fondly refers to as “Moose Country.” The direct translation for Porcupine Lake in Gwich’in actually means “lots of moose.” I had never been this far up the Porcupine River before. The furthest I had gone was to the Bell River (Chiiveenjik). I was excited for this adventure and even more excited at the prospect of moose meat. It was Monday morning of the Labour Day weekend, and Paul’s cousin, Aunt, and sister had gone back to Old Crow the day before, so left at camp were Paul, his father, a family friend, and me. The four of us woke up early in the morning, packed breakfast and thermoses of coffee, and headed on our journey upriver. We would make the journey to Porcupine Lake and hopefully get back to Old Crow late at night with a moose. ...
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How this classification was reachedexpand
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".