Survey of Living Conditions In The Arctic: What Did We Learn?
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
In countries around the Arctic, tens of thousands of Iñupiat, Inuit, and other indigenous peoples live in small, isolated communities where jobs are scarce, incomes are low, and life is not easy. Yet many—including large majorities in Canada, Northern Alaska, and Greenland—are satisfied with life in their communities. That was the puzzle researchers from Statistics Greenland faced in 1994, when they studied living conditions and found that common measures of well-being—like levels of employment—didn’t explain why so many of Greenland’s Inuit chose to stay in their communities. About 7,250 Inuit, Iñupiat, and other indigenous peoples were interviewed in Greenland, Northern Alaska, the Chukotka region of Russia, and the Inuit settlement areas of Canada. The Institute of Social and Economic Research (ISER) conducted the survey in Alaska. This publication describes the survey and introduces the wealth of new information now available on the lives of the Arctic’s first people, measured in ways they themselves chose. Also printed in Valerie Moller, Denis Huschka and Alex Michalos (eds). Barometers of Quality of Life Around the Globe: How Are We Doing? New York: Springer Verlag, 107-134.
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 | 0.007 | 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 | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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