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
The Alaska Permanent Fund invests at least a quarter of the state's mineral revenues annually. Depending on the success of those investments, a dividend is paid to each Alaskan—one citizen, one share. The dividend peaked recently at nearly $2,000—that's $8,000 extra a year in the pockets of a family of four. Thanks in part to these payouts, Alaska has the smallest gap between the rich and poor in the United States. (Although everyone gets a dividend, the rich lose more of it to taxes than do the poor.) To speak of a basic income in an age of curtailed public expenditures, thinks McGill University professor and BI—supporter Myron J. Frankman, "seems like dreaming in Technicolor." Yet change often comes faster than we imagine. "No one reading the press or the journals of 1929," writes Carleton University professor Manfred Bienefeld, "could have imagined the arrival of the New Deal in 1933 in the United States." In the end, opposition to basic income stems more from a paucity of imagination than of means. In the referendum that gave birth to the Alaska Permanent Fund, about a third of Alaskans voted against it; if the vote were held again today, almost no one would oppose it. Whether we decide that a basic income is the right thing to do, the best thing to do, or the only thing to do, it seems likely that the freewheeling imagination that inspires Jay Hammond and Eduardo Suplicy will eventually work its way into the rest of us.
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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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