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Record W2156684993

Where Are They Now? Migration Patterns for Graduates of the University of British Columbia

2000· preprint· en· W2156684993 on OpenAlexaboutno aff
John F. Helliwell, David F. Helliwell

Bibliographic record

VenueRePEc: Research Papers in Economics · 2000
Typepreprint
Languageen
FieldHealth Professions
TopicGlobal Health Workforce Issues
Canadian institutionsnot available
Fundersnot available
KeywordsBachelorPolitical scienceDemographic economicsGraduate educationImmigrationEconomicsMedicineMedical educationLaw
DOInot available

Abstract

fetched live from OpenAlex

In an empirical analysis of the migration patterns of University of British Columbia (UBC) graduates, John F. and David F. Helliwell show in their paper how much the situation has changed between the 1960s and the 1990s. Canadian research and graduate education have expanded dramatically, leading many more undergraduates to stay in Canada for their graduate work. According to the Helliwells, this is perhaps the single most important reason why the south-bound flows of bachelor’s graduates has fallen so much from the early 1960s to the 1990s. Consequently, they argue that the resurgence of discussion of a brain drain in the 1990s has much less basis in the data, and probably represents factors specific to certain sectors, such as health spending, research and university financing, where funding support has risen much less rapidly than in the United States. It has also been fuelled to some extent by sharp increases in the numbers in temporary NAFTA visas to Canadians working in the United States, and in part to increasing gaps in salaries and tax rates in the 1990s that favoured high-income earners in the United States, relative to their Canadian counterparts. The UBC graduate data show that over the past five decades there have been continuing reductions in the shares of UBC graduates living in the United States. For all of the large-scale bachelor’s programs the proportion of graduates living in the United States has continued to fall during the 1990s. For the graduate programs, the proportion living outside Canada is and has always been high, reflecting a very international mix of both the student intake and the available career positions. For all degrees, the proportion of 1990s UBC graduates living in the rest of the world is higher than that in the United States. For graduate degrees, the proportion of the graduates subsequently living and working in Canada, and especially in British Columbia, is much higher than the share of Canadian citizens among the incoming students. With respect to the international distribution of those with the highest level of educational aptitude and attainments, as represented by the master’s and PhD graduates of UBC, Canada and British Columbia stand in the middle ground between the United States and the rest of the world. Comparing the citizenship of UBC’s graduate intake with the country of residence of the graduates, the United States is the largest proportionate net recipient (7 per cent U.S. citizen intake, 14 per cent U.S.-resident 1990s PhDs), Canada is the largest recipient in terms of numbers of PhDs (46 per cent Canadian citizen intake, 70 per cent Canadian-resident 1990s PhDs), with students from 100 other countries providing a net flow into Canada and the United States.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.072

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.006
Science and technology studies0.0030.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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.

Opus teacher head0.045
GPT teacher head0.368
Teacher spread0.323 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations3
Published2000
Admission routes1
Has abstractyes

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