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Record W3044753218 · doi:10.37536/lym.12.1.2020.1041

Finding One’s Place in a Host Space: A Small-Scale Study of Cultural Integration and Language Maintenance Among Croatian Immigrants in Canada

2021· article· en· W3044753218 on OpenAlexaboutno aff
Sanja Škifić, Antonia Strika

Bibliographic record

VenueLengua y migración · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicMultilingual Education and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsCroatianImmigrationHomelandIdentity (music)Sociocultural evolutionCultural identityPsychologyFirst languageSocial psychologySociologyLinguisticsGeographyPolitical scienceAnthropology

Abstract

fetched live from OpenAlex

This paper focuses on sociocultural and language-related issues among Croatian immigrants in Canada. It presents the results of thestudy conducted from November 2018 to February 2019 among Croatian immigrants of different generations in Ontario and British Columbia. Questions included in the questionnaire refer to different aspects of participants’ identity and their (families’) immigration, as well as issues related to their attitudes towards the homeland and engagement in Croatian associations in Canada. Participants were asked to provide feedback on their language acquisition, competence and use, as well as evaluations of the importance of the Croatian language for their identity. The questionnaire also contained questions related to participants’ language use from emotional and cognitive perspectives. Conclusions drawn on the basis of the collected data provide an insight into Croatian immigrants’ language use, the extent of cultural integration and language maintenance, and their attitudes towards the relationship between identity and language.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.101
Threshold uncertainty score0.421

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
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 head0.033
GPT teacher head0.358
Teacher spread0.325 · 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 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

Citations0
Published2021
Admission routes1
Has abstractyes

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