Bibliographic record
Abstract
Universal basic income. 15-hour workweek. Open borders. Does it sound too good to be true? One of Europe's leading young thinkers shows how we can build an ideal world today. A more politically radical Malcolm Gladwell. -- New York Times After working all day at jobs we often dislike, we buy things we don't need. Rutger Bregman, a Dutch historian, reminds us it needn't be this way -- and in some places it isn't. Rutger Bregman's TED Talk about universal basic income seemed impossibly radical when he delivered it in 2014. quarter of a million views later, the subject of that video is being seriously considered by leading economists and government leaders the world over. It's just one of the many utopian ideas that Bregman proves is possible today. Utopia for Realists is one of those rare books that takes you by surprise and challenges what you think can happen. From a Canadian city that once completely eradicated poverty, to Richard Nixon's near implementation of a basic income for millions of Americans, Bregman takes us on a journey through history, and beyond the traditional left-right divides, as he champions ideas whose time have come. Every progressive milestone of civilization -- from the end of slavery to the beginning of democracy -- was once considered a utopian fantasy. Bregman's book, both challenging and bracing, demonstrates that new utopian ideas, like the elimination of poverty and the creation of the fifteen-hour workweek, can become a reality in our lifetime. Being unrealistic and unreasonable can in fact make the impossible inevitable, and it is the only way to build the ideal world.
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 | 0.008 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.016 | 0.043 |
| Scholarly communication | 0.025 | 0.030 |
| Open science | 0.002 | 0.013 |
| Research integrity | 0.006 | 0.014 |
| Insufficient payload (model declined to judge) | 0.032 | 0.009 |
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".