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Record W7024021553

Proměna imigrační politiky Kanady během konzervativní vlády Stephena Harpera

2015· dissertation· en· W7024021553 on OpenAlexaboutno aff

Bibliographic record

VenueDigital Repository (National Repository of Grey Literature) · 2015
Typedissertation
Languageen
FieldSocial Sciences
TopicLeadership, Human Resources, Global Affairs
Canadian institutionsnot available
Fundersnot available
KeywordsImmigrationImmigration policyGovernment (linguistics)Immigration lawPublic policyWork (physics)Immigration reform
DOInot available

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.546
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0030.003
Open science0.0020.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.022
GPT teacher head0.292
Teacher spread0.270 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2015
Admission routes1
Has abstractyes

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