Justice and Moral Regeneration: Lessons from the Treaty of Versailles
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The Treaty of Versailles, which concluded World War I, aimed to establish a “peace of justice”; sadly, it only seemed to pave the way to a second, more devastating world war. What lessons about justice and reconciliation can we learn from the treaty and its apparent failure? Some scholars argue that the fault of the treaty lay in its preoccupation with retributive justice, undermining prospects for reconciliation. Rather than positing justice and reconciliation as inherently conflictual moral values or goals, both need to be conceived as part of the project of moral regeneration. Such a multidimensional project requires a certain kind of justice and reconciliation, founded on mutual respect for the humanity and equality of others. An assessment of the relationship among truth, justice, and reconciliation in the framework of moral regeneration indicates that the most grievous moral fault of the Treaty of Versailles lay in its process, which facilitated neither a truthful accounting of the war's causes and consequences, nor the affirmation of moral truths by victors or vanquished. The lack of an authoritative and public moral accounting of the Great War undermined both justice and reconciliation in international society.
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.
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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it