The Canada-Vietnam Remittance Corridor: Lessons on Shifting from Informal to Formal Transfer Systems
Bibliographic record
Abstract
Examining the experience of the Canada-Vietnam remittances corridor over the past several years, this title is a first step towards identifying the main features and pointing out some of the areas and issues that researchers and authorities should examine more closely. In contrast to the large size and advanced level of development of the U.S.-Mexico remittances corridor, examined in the first case study, the Canada-Vietnam corridor is small in absolute terms and still at a nascent stage of shifting from informal to formal systems. For purposes of discussion, The Canada-Vietnam Remittance Corridor breaks down the remittance process into three stages: the First Mile, when decisions are in the hands of the remittance sender; the Intermediary Stage, comprising the systems that facilitate the cross-border transfer of funds, and; the Last Mile, where the funds reach the hands of the remittance recipient. By analyzing the objectives, obstacles, incentives, and changes occurring at each of these stages in the Canada-Vietnam corridor, lessons are drawn for other remittance sending and receiving countries that seek to encourage formalization of the flows
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.014 | 0.011 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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 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".