COVID-19 Pandemic as a Transitional Event: From the Perspective of the Transition Theory
Bibliographic record
Abstract
The COVID-19 pandemic has affected every aspect of people’s lives across the globe. It is also unique in the way it changed their lives. In this entry, a framework, the Transition Theory, is outlined, which is used to interpret the transitional properties of this pandemic, the ways it differs from other transitional events, and how it impacts the lives and well-being of the individuals. The prediction is that people might consider the pandemic as an important life transition event only if there is a little similarity between their pre-pandemic and post-pandemic lives. Individual differences also need to be considered as those whose lives have been directly affected by the pandemic experience a greater COVID-related change (e.g., job loss vs. no job loss). Lastly, the transitional impact of the pandemic might have a strong link with people’s mental outcomes. These notions call for a longitudinal approach to get an accurate understanding of the pandemic experience while this world-changing event unfolds rather than in retrospect.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.006 | 0.025 |
| Scholarly communication | 0.009 | 0.012 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.005 | 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".