Street‐level bureaucrats, policy learning, and refugee resettlement: The case of Syrian refugees in Saskatoon, Canada
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
Abstract In late 2015 and early 2016, the Canadian government resettled 25,000 Syrian refugees within roughly a three‐month period. This initiative brought a much higher number of refugees to Canada than are usually accepted in that time frame and put pressure on the resettlement system. This article focuses on policy learning on the part of street‐level bureaucrats—employees of the organizations that do the work of resettling Government Assisted Refugees at the community level—and how they dealt with the pressure created by this situation. The findings indicate that the Syrian initiative exposed weaknesses in the existing system and created new obstacles with which street‐level bureaucrats working for Service Provider Organizations (SPOs) had to contend. Presented with an overwhelming strain on the system, street‐level bureaucrats at Saskatoon SPOs performed a real‐time evaluation of the system in which they work and devised solutions to issues as they arose.
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 | 0.000 |
| 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