The psychological benefit of future vividness in goal persistence: An illustrative case of the class of 2020 before & during COVID‐19
Bibliographic record
Abstract
Abstract Graduating during COVID‐19, the Class of 2020 had difficulty pursuing their future goals. This research examined the likelihood of academic and career goal change early in the pandemic, disparities in persistence by socioeconomic status (SES), and how psychological resources mitigated goal change during the early stages of the pandemic. This 4‐year study surveyed students in the Class of 2020 eight times from their first week in college (Fall 2016) to their last semester before graduation (Spring 2020; N = 115; 20% below middle SES, 80% middle SES or above). Even in the first weeks of COVID‐19, a quarter of students changed goals. Lower SES students were less likely to persist in their post‐graduation plans. Nevertheless, students who entered college with a vivid image of their future were more likely to have secured a graduate school or job prospect prior to COVID‐19, and, in turn, were less likely to change goals.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.004 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 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".