Social Structures and the Occupational Composition of Skilled Worker Immigrants to Canada
Bibliographic record
Abstract
The individual decision to immigrate is made in the context of larger social structures that influence the composition of the economic immigrant population over time. Over the last 20 years, economic immigrants to Canada have faced changing selection policies, cycles of economic recession and growth, increased demand for information technology skills, women’s increased labour force participation and an aging labour force. Using data from Statistics Canada’s Longitudinal Immigration Database (IMDB), this paper examines the flow of economic immigrants to Canada by their occupational composition from 1980 to 2000. Relative to Canadians, when all immigrants from this period are grouped together, their economic integration is slow and does not reach parity with Canadians before 16 years. Among skilled worker immigrants, whereas the earlier cohorts did well but did not improve much over time, later cohorts started off in a relatively worse position, but early indications show a fairly steep slope to better relative average earnings. These differences support the need to examine immigrant integration by both the class of immigrant and the context at the time of immigration.
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 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".