Economies of driftwood: Fuel harvesting strategies in the Kodiak Archipelago
Bibliographic record
Abstract
Fuelwood harvesting is an integral part of the subsistence regime for many Arctic and subarctic peoples. Despite the relative paucity of woody resources in the northern tundra, charred wood fragments recovered from archaeological sites reveal a harvesting practice that is thousands of years old. Indeed, fuelwood gathering is a strategic behaviour involving a complex set of decisions beyond merely harvesting by proximity, as some have proposed. In this research, fuelwood harvesting is modeled within an economic framework. A fuel value index (FVI) is established to quantify the energetic returns of different wood species, and ethnographic interviews with Kodiak Island residents demonstrate the knowledge context that surrounds firewood acquisition. Archaeological charcoal from Kodiak Archipelago sites showcases a flexible, though increasingly selective strategy of fuelwood use by early inhabitants. For 7,500 years, maritime hunter-gatherers in the Gulf of Alaska took advantage of wood patchiness; they used a combination of exotic coniferous species in the form of driftwood and native deciduous trees such as alder to fuel their steam baths, smokehouses, and homes.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".