Bibliographic record
Abstract
This publication provides an estimate of the fiscal burden created by recent immigration into Canada and proposes reforms to existing immigrant selection policies to eliminate the burden. It uses a 2006 Census database to estimate the average incomes and taxes paid on these by immigrants who arrived in Canada over the period from 1987 to 2004. It also estimates other taxes they paid and the value of government services they absorbed.\n\nThe study concludes that in the fiscal year 2005/06 the immigrants on average received an excess of $6,051 in benefits over taxes paid. Depending on assumptions about the number of recent immigrants in Canada, the fiscal\nburden in that year is estimated to be between $23.6 billion and $16.3 billion. These estimates are not changed by the consideration of other alleged benefits\nbrought by immigrants.\n\nTo curtail this growing fiscal burden from immigration, the study proposes that temporary work visas be granted to applicants who have a valid offer for employment from employers, in occupations and at pay levels specified by\nthe federal government and determined in cooperation with private-sector employers. Immediate dependents may accompany successful applicants. The temporary visas are renewable and lead to landed immigrant status if certain specified employment criteria are met.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.012 | 0.002 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.018 | 0.001 |
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.
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".