Niccolò Machiavelli, the Baron de Montesquieu and the destabilizing effects of international migration
Bibliographic record
Abstract
This essay demonstrates that, although modern liberals incessantly promote the EU as a living exemplar for the virtues of contemporary liberalism and basic, unrestrictive, migration policies, the experiences of innumerable contemporary EU states, such as France, contradict these spurious claims, since, instead of becoming enriched or improved, countless EU states have deteriorated and become fraught with social conflict, insecurity, and instability, as a result of their minimally restrictive, liberal, migration policies and consequent penetration with foreign, inherently contradictory ideology. Furthermore, this essay demonstrates that, despite the ignorant exclamations of modern liberals, the inviolable patriarch of liberalism, the Baron de Montesquieu, in addition to the pre-eminent, indispensable, paterfamilias of realism, Niccolo Machiavelli, explicitly confirm that, if any state fails to adequately restrict the migration of people and ideas across its borders, then that state will inevitably become penetrated by a foreign, inherently contradictory, ideology, and, consequently, eviscerated by an unrelenting insecurity.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.014 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".