Bibliographic record
Abstract
This collection addresses some of the injustices associated with modern European politics. It begins by addressing the evils of conquest, of Christian oppression and the crusades. Then follows a series of poems denouncing the human debasement and the immorality of slavery. Nationalism is decried. Some European defenders of peace and justice are cited, including Bartolomé de Las Casas, Fénelon, and Montesquieu. Their contribution to a more just history of humankind, described here as a natural history of humankind, is acknowledged. Prominent historical figures such as Vasco de Gama, Afonso de Albuquerque, Hernán Cortés, and Francisco Pizarro are condemned for their acts of conquest. A model of perpetual peace based on universal fairness, humaneness, and active reason is put forward as an alternative to that offered by Kant. On this basis, several practical dispositions to peace are given. The damaging effects of a history based on illusions of progress are described, and, with James Burnett, Lord of Monboddo, as an example, a non-teleological history is promoted. The collection ends with an appeal to true Christianity, which is seen as dictating the good of all humanity.
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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.577 | 0.428 |
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".