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Record W6981319930

The effect of social support and future time perspective on psychological well-being among japanese adult immigrants in Canada across different ages

2024· dissertation· en· W6981319930 on OpenAlexaboutno aff

Bibliographic record

VenueRepositório do ISCTE-IUL · 2024
Typedissertation
Languageen
FieldArts and Humanities
TopicHistorical Art and Culture Studies
Canadian institutionsnot available
Fundersnot available
KeywordsAcculturationSocial supportInterdependenceHappinessPerspective (graphical)MainstreamImmigrationTime perspective
DOInot available

Abstract

fetched live from OpenAlex

The current study examined the relationships between acculturation, future time perspective (FTP), social support, and psychological well-being (i.e., life satisfaction, interdependent happiness, and depression), with consideration of age-related differences. Specifically, the study investigated the relations between acculturation and FTP, the moderating effect of age in the relationship between social support and psychological well-being, and the moderating effect of age in the relationship between FTP and psychological well-being among Japanese immigrants residing in Canada (N =165) through an online survey. The results indicated that mainstream acculturation was positively associated with open FTP and negatively associated with ambiguous FTP, and these FTP mediated the relationship between mainstream acculturation and psychological well-being as an exploratory study. Additionally, there was a moderating effect of age, as instrumental support from co-nationals was positively related to interdependent happiness among older adults, while it was not significantly related to interdependent happiness among younger adults. Furthermore, limited FTP was positively and significantly associated with depression in older adults but not in younger adults. This study also identified main themes of future concerns among immigrants. The results imply that it is crucial to consider age-related differences in social support, future time perspective, and future concerns. Support providers should take age-related differences into account when supporting immigrants. Additionally, more research is needed to identify the types and sources of social support that predict well-being of immigrants based on age. There should also be further exploration into the future time perspective and future concerns of immigrants, considering with age.

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)0.000
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 score0.698
Threshold uncertainty score0.955

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
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 head0.003
GPT teacher head0.240
Teacher spread0.237 · 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
Published2024
Admission routes1
Has abstractyes

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