Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Alaska, with its Indian, Eskimo, and Aleut heritage, its century of Russian colonization, its peoples’ formidable struggles to wrest a living (or a fortune) from the North’s isolated and harsh environment, and its relatively recent achievement of statehood, has long captured the popular imagination. In An Alaska Anthology , twenty-five contemporary scholars explore the region’s pivotal events, significant themes, and major players, Native, Russian, Canadian, and American. The essays chosen for this anthology represent the very best writing on Alaska, giving great depth to our understanding and appreciation of its history from the days of Russian-American Company domination to the more recent threat of nuclear testing by the Atomic Energy Commission and the influence of oil money on inexperienced politicians. Readers may be familiar with an earlier anthology, Interpreting Alaska’s History , from which the present volume evolved to accommodate an explosion of research in the past decade. While a number of the original pieces were found to be irreplaceable, more than half of the essays are new. The result is a fresh perspective on the subject and an invaluable resource for students, teachers, and scholars.
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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 it