The Shift in Canadian Immigration policy under the Conservative government of Stephen Harper
Bibliographic record
Abstract
In this bachelor thesis, titled "The Shift in Canadian Immigration policy under the Conservative government of Stephen Harper", are introduced and subsequently analyzed changes in the immigration policy of Canada that have been made under the government of conservative Prime Minister Stephen Harper (2006-2015). The aim of this work is to point out a fundamental change in the nature of immigration policy of Canada. The thesis of the work is: "Canada abandons the search for the perfect citizen and focuses on selecting an ideal worker." The first chapter of the thesis is a historical overview, which explains the role of immigration in Canadian society and major milestones in Canadian immigration policies before the Harper government. It also notes the most significant problems and challenges in this field Canada faced and were one of the causes of the current reform of the immigration system. A key part of the thesis is the second chapter, which analyzes the different changes in immigration policy, which took place under the government of Stephen Harper. Through entire chapter is demonstrated how the individual changes will transform the nature of Canadian immigration policy. The last chapter of this work analyzes the impact of implementing reforms to Canada's immigration system and society.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.018 | 0.008 |
| Scholarly communication | 0.007 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 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".