Social Connectedness and its Relation to Perceived Stress and Loneliness
Bibliographic record
Abstract
This study evaluated university students’ levels of overall social connectedness, perceived stress, loneliness, and strength of social connection with different groups (family, friends, classmates, instructors, university community). Associations between the aforementioned factors were also investigated, and time-related changes to 2020-21 data during COVID-19. Undergraduate students (n = 100) at a university in London, Ontario, completed a questionnaire comprising the Social Connectedness Scale, questions about the strength of social connections with different groups, the UCLA Loneliness Scale, and the Perceived Stress Scale. A correlational analysis revealed significant, negative correlations between social connectedness and perceived stress and loneliness. A repeated measures ANOVA analysis revealed that family and friends were associated with higher levels of social connectedness and lower levels of perceived stress and loneliness. Higher levels of social connectedness in relation to in-person interactions compared to online interactions were also reported. Students’ levels of perceived stress appeared higher than in past research, as well as their levels of connection with classmates, instructors, and the university community in comparison to 2020-21 data.
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 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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".