Bibliographic record
Abstract
Thomas More's Utopia is made up of two books. Book One, quickly skimmed over by those who dream of the future and are bored by history, tells us about Europe in 1515 at the dawn of a revolution in every field of knowledge dominated by a political power that uses religion, fear and ignorance to satisfy an insatiable appetite for hegemony, infinitely corrupt but in public promoting moral, family values. Book Two gives us a glimpse of a future on a human scale using new techniques, reason and good management of its resources to reconcile the common good with the pleasure of the individual. That book is the founding text for our modernity. It is the pagan bible adopted by the Enlightenment, which we have inscribed in the charter of our epoch's institutions. Five hundred years later the books are being rewritten in reverse: the great human dream set in train by Book Two in 1516 is bogged down in the reality of 2005. The new promises of free-choice economism in 2005 are just a nightmare journey back in time to the postulates of Book One.
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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.009 |
| Scholarly communication | 0.012 | 0.016 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.006 | 0.011 |
| Insufficient payload (model declined to judge) | 0.070 | 0.026 |
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".