National Responsibilities to Citizens: Past or Present?
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
Throughout history governments have neglected, mistreated, or intentionally harmed their own citizens. In Canada this includes the denial of equal rights, the internment of Japanese Canadians during and after WWII, and the forced expulsion of the Acadians in1755, as well as other events. In the literature on reparations, the most popular examples of harm perpetrated by a state is the capture and enslavement of Africans and the acquisition of Aboriginal lands during European exploration and colonization in North America. In this paper I will examine the argument for reparative claims against nations. I will argue that when we closely examine the case for reparative justice, it becomes clear that a distributive justice account would be more effective and less problematic than appeals to corrective justice. Further, when looking at the claims of past versus present citizens upon the nation, distributive justice provides a method to determine where responsibility lies.
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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.002 | 0.001 |
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