Bibliographic record
Abstract
Over nearly a century, a large assemblage of archaeological artifacts has been collected from some high-lying snow patches in a number of mountain areas in central Norway. The regional collection now comprises 234 individual artifacts that include both organic and inorganic elements. Many of these are arrowheads, shafts, and other equipment from past hunting expeditions on alpine snow patches. This article outlines three different phases of artifact recovery in the region: Phase I (1914 – 43) began with the initial snow patch discovery and included large numbers of finds in the 1930s and early 1940s; Phase II (1944 – 2000) had relatively few discoveries; and Phase III (2001 – 11) included discovery of 17 new sites and a record number of 145 artifacts. Local reindeer hunters and hikers have recovered many of the artifacts. There are close links between reindeer hunting and snow patch surveying in the region. The majority of snow patch finds were recovered during the period from mid-August through mid-September. The collection can best be viewed as a cohesive long-term record of melting snow patches.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".