Longitudinal Research to Promote Effective Refugee Resettlement
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
Canada's relative generosity in admitting refugees and fairness in considering refugee claims has earned this country an enviable reputation. However, having opened its doors to those selected, Canada's resettlement policies and programs fail to provide for their needs, and to promote their optimal adaptation. Based on a decade-long investigation of the resettlement of more than 1300 Southeast Asian refugee--'Boat People'--the current report examines how research concerning (a) the impact of pre-migration trauma; (b) the mental health impact of social resources such as the like-ethnic community, refugee sponsorship programs, and language training; and (c) individual coping strategies such as suppressing the past, can contribute both to theory and to improving policy and practice. The presentation acknowledges the contributions of Dr. Alexander H. Leighton by demonstrating the importance of his insistence on the need for a longitudinal perspective both for conducting research and for planning programs and services.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.002 |
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