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Record W2342315684 · doi:10.1177/0008429816643115

Christian and Muslim Immigrant Women in the Canadian Maritimes

2016· article· en· W2342315684 on OpenAlex
Catherine Holtmann

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueStudies in Religion/Sciences Religieuses · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicTourism, Volunteerism, and Development
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsImmigrationGender studiesSociologyQualitative researchPolitical scienceWork (physics)IslamGeographyLawSocial science

Abstract

fetched live from OpenAlex

This article details the strengths and vulnerabilities that Christian and Muslim immigrant women bring to situations of domestic violence in the Canadian Maritimes. An intersectional theoretical framework grounds the analysis of qualitative data collected from 89 Christian and Muslim women from 27 countries of origin who arrived in the region ten years prior to the field work. Their strengths include high levels of education, experiences of overcoming adversity, the ability to act strategically, and the use of social networks, while factors such as increased dependence on husbands, transnational family situations, responsibilities for family unity, and a lack of knowledge about local services are vulnerabilities. The findings show that Orthodox and Catholic Christians, Muslim women with young children, immigrant women employed full-time immediately upon arrival, and wives whose immigration is sponsored by their husbands lack access to important social support networks.

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.

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.250
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.003
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.033
GPT teacher head0.325
Teacher spread0.292 · 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