Research on the Changing Perspectives on Romantic Love among Chinese International Students at the University of Toronto
Bibliographic record
Abstract
In the era of globalization, many Chinese students study abroad. As a University of Toronto student, the author is interested in the romantic love narratives of Chinese international students. These students are more confident in expressing emotions and have different views on marriage compared to their parents, leading to a sense of contradiction. By applying an individualist perspective, this research carefully studies the love narratives of Chinese international students at the University of Toronto. The interview in this study carefully curated questions about discussing a conflict in romantic relationships, disclosing the core perspectives towards romantic relationships between couples. This paper adopts the individualism approach by which the author can further explore the micro perspective. The study shows that Chinese international students pursuit of happiness in romantic relationships is not an isolated endeavor but is deeply entwined with broader social and cultural contexts, requiring a delicate balance between individual fulfillment and collective harmony. This research illuminate the complex interplay between individual agency and societal norms in shaping perceptions of love, offering valuable insights for future research aimed at unraveling the multifaceted dimensions of romantic relationships across cultural contexts.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.022 | 0.011 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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 source (direct Gemma or distilled Codex), 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".