Bibliographic record
Abstract
<JATS1:p>In Refugee Pathways to Peace: Escaping the Chaos of War, Janet Mancini Billson provides perspectives of Vietnamese, Syrian, Congolese, Liberian, and Ukrainian refugees, and the resettlement agencies that smooth their transition into a new life context. Despite welcoming refugee policies, challenges arise in Canada’s uniquely positive context. Participants discuss how they overcome displacement and cope with the trauma of leaving home and family behind. As they craft viable new lives, refugees remain vulnerable to marginality and delays in economic independence.</JATS1:p> <JATS1:p>Following Refugee Pathways to Freedom, Billson details how refugees are double victims of conflict and a glacially slow resettlement process, and places the refugee experience into a human rights framework. She offers recommendations for improving a global refugee system that is creaking as displacement escalates. She calls for limiting the sojourn in refugee camps to two years to help reduce negative impacts and maximize newcomer well-being. She concludes that the true “epidemic” is conflict (displacing 100,000,000 persons annually). Shifting the focus toward diplomacy and peacebuilding before minor conflicts become “hot spots” is crucial, as is streamlining refugee selection processes to reduce despair and lost years. Participants make specific policy suggestions that would enhance rather than degrade refugee well-being during resettlement.</JATS1:p>
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.
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 | 0.000 | 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 | 0.006 |
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; both teacher heads agree on what is shown here.
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".