Bibliographic record
Abstract
FIGURES 1.1 Map of volume localities 2 4.1 Sketch map of St. Lawrence Island 45 4.2 Linda in her late teens or early twenties 53 5.1 Excavated features at the Tagilgayak Site on the Unalakleet River, Alaska 70 5.2 Structural remains found in Features P3 and P9 at the Tagilgayak Site 71 5.3 Stone net sinker and carved bone fish arrow recovered at Tagilgayak 72 7.1 Yukon-Kuskokwim delta landscape in July 95 7.2 Chance Hill setting whitefish net 99 7.3 Ulrich Ulroan brings whitefish to his grandmother, Mrs. Angelina Ulroan 101 7.4 Mrs. Angelina Ulroan processing herring at her camp 102 7.5 Filleted salmon with fish mark ownership 105 7.6 Dried and smoked salmon at the foot of the smokehouse 106 9.1 The "male" artifact packets 138 9.2 Gender-uncertain objects 139 9.3 Gender-female objects 139 9.4 Gender-male objects
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.767 | 0.465 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".