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Record W3194701105 · doi:10.32920/ryerson.14636664.v1

Family reunification? : a critical analysis of Citizenship and Immigration Canada's 2013 reforms to the Family Class

2021· preprint· en· W3194701105 on OpenAlexaboutno aff
Jacklyn Neborak

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldSocial Sciences
TopicIntergenerational Family Dynamics and Caregiving
Canadian institutionsnot available
Fundersnot available
KeywordsGrandparentCitizenshipFamily reunificationImmigrationRacializationPolitical scienceSocial capitalCapital (architecture)Immigration policySociologyLawGeography

Abstract

fetched live from OpenAlex

In 2011, significant reforms to Canada’s Family Class for immigration began with the freezing of applications for parent and grandparent sponsorship. In May 2013, a package of reforms to the Family Class was proposed, which would impose more stringent conditions for the sponsorship of parents, grandparents, and dependent children under the Family Class. In response, a coalition of civic stakeholders in Ontario mobilized through the “My Canada Includes All Families” campaign to lobby Citizenship and Immigration Canada (CIC) to stop the implementation of these changes. This paper analyzes the package of reforms and explores the impacts that past and proposed reforms might have upon the value of the family unit in Canada. This paper aims to support the “My Canada Includes All Families” campaign by presenting practical research to illustrate the benefits that parents, grandparents, and family reunification have for the Canadian social fabric in terms of social capital. Key words: policy reform, family reunification, social capital, economic rationale, racialization

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)0.006
metaresearch head score (Gemma)0.011
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.698
Threshold uncertainty score0.809

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.005
Science and technology studies0.0380.018
Scholarly communication0.0120.003
Open science0.0030.005
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0040.000

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 head0.020
GPT teacher head0.296
Teacher spread0.276 · 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

Citations7
Published2021
Admission routes1
Has abstractyes

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