MétaCan
Menu
Back to cohort
Record W2001230402 · doi:10.1159/000090301

Acculturation and Identity: The Role of Individualization Theory

2006· article· en· W2001230402 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

VenueHuman Development · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicYouth Education and Societal Dynamics
Canadian institutionsWestern University
Fundersnot available
KeywordsAcculturationPsychologyIdentity (music)SociologySocial psychologyPsychoanalysisDevelopmental psychologyAnthropologyEthnic groupAestheticsPhilosophy

Abstract

fetched live from OpenAlex

Acculturation Identity capital Immigrants Individualization Schwartz, Montgomery and Briones begin the process of developing a model with which to understand the acculturation of immigrants within the context of iden-tity theory. To further the development of this model, in this commentary I will lay stress on the point that acculturation among immigrant people can be seen as a spe-cial form of the individualization of the life course. The requirement to individualize one’s life course, and hence one’s identity(ies), is endemic to late-modern societies, where the collectivist supports for developmental tasks found in traditional societies have diminished, leaving people to make more and more decisions regarding ‘who they are’ and what paths their lives should take [Beck, 1992; Cote, 2000]. Accord-ingly, the individualization of the life course can be a diffi cult task, even for non-im-migrant citizens with only one cultural/ethnic background. However, these diffi cul-ties can multiply as people’s circumstances become more complex, as in the cases discussed by Schwartz, Montgomery and Briones of non-white, non-Western immi-grants moving to Western nations. The situation becomes even more complex in countries that are ‘multicultural,’ as in Canada. In cities like Toronto, for example, there are now dozens of non-white ethnic groups with distinct languages living in close quarters, making it diffi cult for some minority members to even identify a ma-jority culture with which to acculturate. Moreover, experiences of discrimination are common

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)0.001
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.759
Threshold uncertainty score0.423

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.020
GPT teacher head0.318
Teacher spread0.298 · 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