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Record W2745132155

Graduate student self-concept and loneliness: A cross-cultural study

2008· other· en· W2745132155 on OpenAlexaboutno aff
Rosemary Frey, Garth Lipps

Bibliographic record

VenueResearchSpace (University of Auckland) · 2008
Typeother
Languageen
FieldPsychology
TopicResilience and Mental Health
Canadian institutionsnot available
Fundersnot available
KeywordsLonelinessPsychologySocial psychologySociology
DOInot available

Abstract

fetched live from OpenAlex

Objective: Drawing on the constructs of interdependent and independent self (Markus & Kitayama, 1991), this study looks at the relationship between self view and measured levels of loneliness in entry-level graduate students in six cultural contexts. Method: Utilizing purposive sampling data was collected from 536 entry-level graduate students in both cultures that could be characterized as more individualist (Austria, Canada and the United States) and more collectivist (Brazil, India and Jamaica) in their orientation. Data was collected via the CCSPI questionnaire and included responses to the Adult Source of Self-Esteem Inventory (Elovson & Fleming, 1989) as a measure of self-view, and the Revised UCLA loneliness scale (Russell, Peplau & Cutrona, 1980). Both correlational and multivariate analysis techniques were employed. Results include an inverse relationship between interdependent view of self and measured levels of loneliness. In addition, there were significant differences in both self-concept preference (interdependent vs. independent) and measured levels of loneliness across cultures. Conclusion: A students' view of self is influenced in part by the cultural context. Furthermore, the experience of loneliness varies across cultures. Implications are drawn regarding the emotional impact of graduate school based on preferred view of self. Recommendations are made for incorporating diversity into the process of graduate education.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.639
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.068
GPT teacher head0.438
Teacher spread0.370 · 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.

Study designNot applicable
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
Published2008
Admission routes1
Has abstractyes

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