Bibliographic record
Abstract
This chapter considers “solarity” as an elemental agent that shapes the cultural regimes of the circumpolar North. I discuss how solar energy weathers the artifacts of the Thule people, the ancestors of the contemporary Inuit. The sun draws out the oils and bleaches the surfaces of Thule remains, yielding them up for use in the production of tools, commodities and archaeological objects of study. But where this process might be understood to neutralize the meaning of Thule artifacts, priming them for scientific study, I suggest otherwise. Following the lead of Inuit mythology, I locate solarity in its diurnal and seasonal interplay with other irreducible elements, as these overlap, transgress and withdraw from one another. This trajectory counteracts the technoscientific perspective at work in environmental archaeology, that would position cultural changes (from the Thule to the Inuit, specifically) as a passive adaptation to natural change. By contrast, I position solarity as a force that vitalizes material culture, its capacity to cast shadows and yield an account of artifacts beyond positivist frames. The insights of solarity come by way of reading its interaction with the moon, the night, with bone and sinew, with land and water, tools and carvings, climate changes, animal migrations, and the forced displacement of the circumpolar Inuit.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.019 | 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".