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Record W2019556661 · doi:10.1080/1360200042000212205

Arabic language learning among Arab immigrants in Milwaukee, Wisconsin: a study of attitudes and motivations

2004· article· en· W2019556661 on OpenAlexaboutno aff
Caroline Seymour‐Jorn

Bibliographic record

VenueJournal of Muslim Minority Affairs · 2004
Typearticle
Languageen
FieldSocial Sciences
TopicMultilingual Education and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsIslamImmigrationHomelandSociologyFeelingEthosIdentity (music)Gender studiesMedia studiesPsychologyPolitical scienceHistoryLawSocial psychologyArt

Abstract

fetched live from OpenAlex

This study examines the attachment to Arabic language in the Arab‐American community in Milwaukee, Wisconsin, USA as a form of maintaining cultural identity. The researcher interviewed Arab‐American students at the University of Wisconsin as well as selected members of the broader Arab‐American community in the city. This research suggests that there is strong interest in Arabic language education particularly among Arab‐Muslim families who have arrived within recent decades. The researcher concludes that the interest in Arabic language education in Milwaukee stems from the strong leadership structure in the community and the feeling of community members that young Muslims have a responsibility to read the Qur'an in the original and understand it for themselves. Members of the Arab‐American community also maintain an ethos of connectedness with the homeland which results in students' attitude that knowledge of Arabic is important for their cultural identity and relationship to their internationally located families.

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)0.001
metaresearch head score (Gemma)0.002
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.084
Threshold uncertainty score0.167

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.002
Scholarly communication0.0030.001
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.032
GPT teacher head0.385
Teacher spread0.353 · 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

Citations31
Published2004
Admission routes1
Has abstractyes

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