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Record W4412867220 · doi:10.1177/01979183251352434

Canadian and Australian Immigration Policy Trends: An Institutional Isomorphic Comparative Historical Analysis

2025· article· en· W4412867220 on OpenAlexaboutno aff
Joyce Opare‐Addo, Karen Farquharson

Bibliographic record

VenueInternational Migration Review · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Refugees, and Integration
Canadian institutionsnot available
Fundersnot available
KeywordsImmigrationImmigration policyPolitical sciencePolicy analysisDevelopment economicsSociologyPublic administrationEconomicsLaw

Abstract

fetched live from OpenAlex

This comparative analysis examines the historical trajectories and contemporary trends of immigration policies in Canada and Australia, elucidating the enduring influence of past practices on current frameworks. Focusing on the pre-1960s through post-2000s eras, the study reveals how both nations’ migration policies have shifted from racially based to skills-based approaches, with a recent emphasis on language proficiency as a key selection criterion. Drawing on institutional isomorphism theory, the study argues that Canada and Australia exhibit normative and mimetic isomorphic processes, reflecting cultural values and mutual learning in policy development. It contends that these isomorphic practices are rooted in colonial legacies and may perpetuate historical hierarchies. Through an analysis of key events and occurrences, the study highlights the convergence of legal and regulatory regimes between the two nations, characterizing it as colonial isomorphism. This comprehensive examination provides insights into the sociocultural and historical factors shaping immigration policies, showing that migration policies in different nations appear to follow normative, coercive and mimetic isomorphic processes.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.802
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.039
GPT teacher head0.388
Teacher spread0.349 · 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
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

Citations1
Published2025
Admission routes1
Has abstractyes

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