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Record W7037874846

FOREIGN STUDENTS IN CANADA: THE IMMIGRATION EXPERIENCE FROM START TO FINISH

2010· dissertation· en· W7037874846 on OpenAlexaboutno aff

Bibliographic record

VenueQSpace (Queen's University Library) · 2010
Typedissertation
Languageen
FieldMaterials Science
TopicDiatoms and Algae Research
Canadian institutionsnot available
Fundersnot available
KeywordsImmigrationGovernment (linguistics)Order (exchange)Work (physics)Foreign policyForeign languageWork experience
DOInot available

Abstract

fetched live from OpenAlex

The purpose of this project is to reveal the practical issues that arose for foreign students in Canada as they attempted to maintain their immigration documents in compliance with prescribed procedures, and to fully access the opportunities afforded by the regulations. The project covers the period ending in 2007 and is based on my observations as an international student advisor who has worked in the profession for many years. \nFirst, I review Canadian federal government news releases, and educational and business lobby statements regarding the value of foreign students to Canada. Second, I describe the Canadian federal government regulations that defined the processes that applicants were required to use to gain entrance to Canada and in order to maintain their documents throughout their period of study. Third, I describe the practical considerations students undertook in order to comply with the regulations concerning study and in opting to take advantage of newly-emerging work permit opportunities. I have included tables naming what actions the students needed to take with regard to their immigration documents and when these actions best needed to take place. I conclude that it is the intention of the federal government of Canada to encourage foreign students to come to Canada for study and to remain, temporarily or permanently, for employment. Further, I conclude that the procedures created to regulate foreign student entrance and stay in Canada are not consistent for all foreign students, but vary according to their citizenship. Last, I conclude that foreign students need to use complex strategies to successfully obtain and maintain their Canadian immigration documents.

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)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.055
Threshold uncertainty score0.316

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.003
Science and technology studies0.0550.009
Scholarly communication0.0130.003
Open science0.0020.009
Research integrity0.0020.007
Insufficient payload (model declined to judge)0.0100.002

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 head0.007
GPT teacher head0.221
Teacher spread0.214 · 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 designQualitative
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

Citations0
Published2010
Admission routes1
Has abstractyes

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