Murder, Greed, and Corrupt Politicians: The Fall of the Roman Republic
Bibliographic record
Abstract
With a prompt that has been written about countless times, this essay argues that the fall of the Roman Republic was inevitable by examining the end of the republic through a new lens- political instability. This paper draws on primary sources and key individuals such as Julius Caesar and the lesser-known Gracchi brothers. The title does not lie – the fall of Rome is filled with exciting twists and turns that are examined within this work. This paper focused on three important political leaders from roughly 130-40BC. The Gracchi Brothers introduced a new strategy to gain power as Tribunes and set a precedent for political violence in the Roman Republic. Lucius Sulla utilized his unstoppable military power to gain control of the Republic as a dictator and removed plebeian favour reforms, removing power from the citizens of Rome. Julius Caesar was the Roman Republic’s final leader; his thirst for power and political self-interest is what eventually caused the Roman Republic to come to an end. The reader will come to find that ancient politics was much more violent than its modern-day counterpart. The Roman Republic did end, but why? Could these key figures have made different choices that might have saved Rome?
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How this classification was reachedexpand
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 | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".