Who I am is Shaped by my Past and Impacts my Future: Exploring Antecedents and Outcomes of Self-Views across International, Immigrant, and Canadian born Undergraduate Students
Bibliographic record
Abstract
This dissertation focused on how various self-views variables (self-esteem, self-concept, and self-concept clarity) differ across and within groups of university students, are influenced by internal and external factors, and predict academic and non-academic variables. Key models of self and group perceptions were used in deriving hypotheses (i.e., Shavelson, Hubner & Stanton, 1976; Bosson & Swann Jr, 2009; Stephan, Ybarra, & Morrison, 2009). Across the four studies, self-report questionnaires were used. Studies 1 and 4 were completed online by international, immigrant, and Canadian born students. Studies 2 and 3 examined only international students, involved an experimental manipulation, and were conducted in-lab. The aim of Study 1 was to ascertain if self-concept scores differ across international, immigrant, and Canadian born students. Immigrant students had higher math self-concept than Canadian-born students, and international students had lower verbal and academic self-concept than non-international students. Study 2 was designed to explore whether self-concepts (general, academic, and verbal) and self-esteem levels of international students would be affected when primed with threat, and to see whether resilience and acculturative stress would moderate the threat-self-views link. Scores did not differ across conditions and moderations were non-significant.\nIn Study 3, the hypotheses in Study 2 were reexamined with a different experimental manipulation. Other differences between these studies were the inclusion of a positive non-threat priming condition and measures of self-concept clarity and religion self-concept. Self-views scores did not differ across priming conditions. However, with increasing levels of acculturative stress, the drop in general self-concept was smaller for those in the positive non-threat condition than in the neutral condition. Study 4 assessed whether there were group differences in the prediction of outcomes by self-views variables. Results indicated that self-views predict outcomes in expected ways (e.g., academic self-concept predicts GPA), but that there are group differences in prediction (e.g., immigrant students reported lower levels of life satisfaction compared to Canadian born students as levels of general self-concept increased). In sum, international, immigrant, and Canadian born students differ across self-concept domains and in predictor-criterion relationships, and the self-perceptions of international students change depending on context. Implications for educational stakeholders and self-views researchers are outlined.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".