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Record W4237989299 · doi:10.32920/ryerson.14646843.v1

Intermarriage, Assimilation, and Transnationalism: New Directions

2021· preprint· en· W4237989299 on OpenAlexaffabout
Rebecca Leah Fitt-Ajewole

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldSocial Sciences
TopicMigration and Labor Dynamics
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsTransnationalismImmigrationGender studiesSociologyAccommodationNegotiationIdentity (music)Settlement (finance)Assimilation (phonology)GeographyPolitical sciencePoliticsSocial sciencePsychology

Abstract

fetched live from OpenAlex

Statistics Canada has reported that intermarriage, which is defined as marriages that take place outside the boundaries of tradition, religion, caste, and geographical origins, is on the rise in Canada. While the economic integration of immigrants in Canada has been thoroughly researched, couple and family formation are less researched but fundamental aspects of the settlement and accommodation of immigrants in receiving countries. Using both assimilation theory and transnationalism, I will critically review the way in which intermarriage is interpreted in the literature and demonstrate a gap in regards to contemporary studies of intermarriage. In-depth interviews were conducted with three white, Canadian-born women and their racialized/immigrant husbands in Southern Ontario to gain insight into their everyday, lived experiences. Through the exploration of themes such as identity, culture, gender, and family relationships, the findings suggest that intermarried couples are continually negotiating transnational ideas, values, and practices.

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)0.013
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.182
Threshold uncertainty score0.362

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.007
Science and technology studies0.0060.039
Scholarly communication0.0120.027
Open science0.0020.007
Research integrity0.0030.005
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 head0.027
GPT teacher head0.326
Teacher spread0.300 · 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 designObservational
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
Published2021
Admission routes2
Has abstractyes

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