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Record W1245654763

Gender, religion, and migration : pathways of integration

2010· book· en· W1245654763 on OpenAlexaboutno aff
Glenda Tibe Bonifacio, Vivienne S. M. Angeles

Bibliographic record

Venuenot available
Typebook
Languageen
FieldSocial Sciences
TopicMigration, Ethnicity, and Economy
Canadian institutionsnot available
Fundersnot available
KeywordsFaithGender studiesImmigrationIslamGrassrootsPolitical scienceSociologyGeographyReligious studiesPoliticsLawTheology
DOInot available

Abstract

fetched live from OpenAlex

Chapter 1. Introduction Part 2 Asia-Pacific Chapter 3 Chapter 2. It Cuts Both Ways: Religion and Filipina Domestic Workers in Hong Kong Chapter 4 Chapter 3. Faith(ing) Japan: Japanese Brazilian Migrants and the Roman Catholic Church Chapter 5 Chapter 4. On Being Part of the Whole: Positioning the Value of Muslim Men in Sydney Chapter 6 Chapter 5. Praying for Food: Class and Indian Overseas Students in Australia Part 7 Europe Chapter 8 Chapter 6. Islam as a New Urban Identity? Young Female Muslims Creating a Religious Youth Culture in Berlin Chapter 9 Chapter 7. Female Believers on the Move: Vietnamese Pentecostal Networks in Germany Chapter 10 Chapter 8. Islam: A Dead End for Integration of Female Immigrants in Denmark? Chapter 11 Chapter 9. Muslim Immigrants in France: Religious Markets and New Mechanisms of Integration Part 12 Latin America Chapter 13 Chapter 10. Muslim Women in Brazil: Notes on Religion and Integration Part 14 North America Chapter 15 Chapter 11. Polish-Catholic Religiosity in California Chapter 16 Chapter 12. Acculturation of Kenyan Immigrants in the United States: Religious Service Attendance and Transnational Ties Chapter 17 Chapter 13. Ethno-Religious Power: Yoruba Immigrant Women in the United States Chapter 18 Chapter 14. New Guadalupanos: Mexican Immigrants, a Grassroots Organization, and a Pilgrimage to New York Chapter 19 Chapter 15. Building Communities through Faith: Filipino Catholics in Philidelphia and Alberta Chapter 20 Chapter 16. No Greater Law: Illegal Immigration and Faith-based Activism

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.572
Threshold uncertainty score0.763

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
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 head0.035
GPT teacher head0.270
Teacher spread0.236 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreOther

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

Citations12
Published2010
Admission routes1
Has abstractyes

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