The Vietnam Brain Drain: An Exodus of Educated Americans to 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
This article builds upon previous claims about the nature of American emigration to Canada during the Vietnam War by analyzing its economic incentives. Special attention is paid to job opportunities offered by Canada, coupled with the lack of economic flexibility given to draft-age American males, especially those who were college educated. Both of these factors played a role in the mass emigration to Canada during the war. Primary sources convincing me of this thesis include data released by Manpower and Immigration Canada, quotes from draft-age men living during the Vietnam War, a 1969 speech given by the Minister of Manpower and Immigration, statistics from the US Census Bureau, the 1966 White Paper on Immigration, and a 1964 National Opinion Research Survey. Secondary sources include The Northern Passage by John Hagan, The Working-Class War by Christian Appy, both Strangers At Our Gates and Forging Our Legacy by Valerie Knowles, and a 1988 study published by the Research Triangle Institute. Using these sources, the article highlights how Canada was an ideal destination not only for political reasons, but for economic reasons as well. In effect, this adds complexity to the group known as “draft dodgers” by emphasizing their drive to seek financial opportunities across the border.
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 | 0.000 | 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) | 0.000 | 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