Bibliographic record
Abstract
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. 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.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.017 | 0.005 |
| Scholarly communication | 0.010 | 0.008 |
| Open science | 0.002 | 0.019 |
| Research integrity | 0.005 | 0.009 |
| Insufficient payload (model declined to judge) | 0.126 | 0.020 |
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 source (direct Gemma or distilled Codex), 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".