Human rights at crossroads: North American trade policies and their impact on human rights in Indonesia
Bibliographic record
Abstract
Nowadays, trade is the engine running the world. Commercial relations drag a plethora of issues that make them more relevant: today, trade is not an isolated interaction, but instead it is connected to issues like environmental matters, political conditions, ethical dilemmas, and human rights concerns that put international trade relations at their most complex state. In such levels of complexity, should The United States and Canada as two of the economic leaders of modern times, become more involved in the internal affairs of their partners or should they play fools in favor of trade relations? Furthermore, as the world’s economies turn towards Asia, should they interfere with human rights issues on these countries or should they just look away? Business is not just business, but more likely countries will put trade first and human rights second. The U.S and Canada have done something similar in their past relations with Indonesia, a country in Southeast Asia with a very interesting history, a tumultuous record of political stability, and a stained record on human rights.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".