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Acculturation in Multiple Host Community Settings

2010· article· en· W2158155031 on OpenAlex

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Social Issues · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicRacial and Ethnic Identity Research
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsAcculturationImmigrationMulticulturalismHost (biology)Ethnic groupPerspective (graphical)SociologyPolitical sciencePedagogyAnthropologyComputer science

Abstract

fetched live from OpenAlex

This article provides an overview of immigrant/host majority relations from an intergroup perspective using the interactive acculturation model. Whereas previous research assumed that immigrants must adapt to a single dominant host majority, receiving societies are often made up of host communities whose ethnic and linguistic backgrounds vary, thus offering immigrants the option of adapting to one or more host communities. Two such settings are examined in North America: bilingual Montreal made up of French- and English-speaking host communities; and bilingual Los Angeles with its English-speaking European and African American host communities and its Spanish- and Asian-speaking immigrant communities. The Montreal and Los Angeles studies highlight how integration policies adopted at the national and institutional levels are related to the acculturation orientations endorsed by contrasting immigrant and host community undergraduates living in multilingual and multicultural settings.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.610
Threshold uncertainty score0.987

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.066
GPT teacher head0.428
Teacher spread0.362 · 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