Bibliographic record
Abstract
Self-determination theory proposes that intrinsic aspirations protect against negative mental health outcomes by satisfying people's basic psychological needs of autonomy, relatedness, and competence. The present study investigated this relationship using two four-wave prospective longitudinal studies which followed undergraduate students across the Canadian academic calendar (September to May). The first was conducted across 2018-19 and the second across 2019-20. By comparing these two samples, we examined whether baseline levels of intrinsic aspirations moderated the impact of the COVID-19 pandemic on the development of depressive symptoms. Three main findings emerged, the first being that students reported higher levels of depressive symptoms in Spring 2020 than in Spring 2019. Second, students with more intrinsic aspirations in the pre-pandemic sample (2018-19) experienced fewer depressive symptoms from December to May while students with more intrinsic aspirations in the pandemic sample (2019-20) experienced more depressive symptoms during this period. Lastly, the latter relationship was mediated by need frustration, whereby students with higher levels of intrinsic aspirations experienced greater need frustration during the pandemic year. Together, these findings suggest that although intrinsic aspirations typically protect against negative psychological outcomes, the unique need frustrating context of the pandemic made them a risk factor for depression.
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 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".