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 2020 documentary film Safe Haven, features interviews with war resisters and deserters from the Vietnam Conflict, Operation Iraqi Freedom, and the Canadian War Resister’s Support Campaign, a group of sympathetic Canadians who assist Americans who choose to flee to Canada rather than remain in the United States Armed Forces. The documentary tackles the moral tension individuals suffer when faced with going to war versus requesting safe haven in Canada and leaving all they know in the United States behind, coupled with the support and assistance—perhaps in contravention of Canadian law—offered by Canadian civilians. Incorporating evidence from the interviews as a platform for those who had been living in hiding and fear of deportation and incarceration, the documentarians support safe haven opportunities in Canada for Americans seeking to leave their military obligations behind. As this review concludes, the film is relevant for those interested in US/Canadian relations, international politics, and wartime asylum.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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 it