Long-term impact of COVID-19-related health restrictions on occupational competence and values
Bibliographic record
Abstract
Purpose This paper aims to determine the long-term effect (at 15 months) of lockdown on occupational competence and values. Design/methodology/approach In total, 391 participants who participated in the first phase of the study (i.e. a previous study conducted during lockdown) were included. They completed an online version of the Occupational Self-Assessment. The results were compared with Phase 1 scores. Findings Occupational competence scores reduced during lockdown and increased 15 months later, but they did not return to pre-lockdown levels. The value score was lower 15 months after lockdown than pre-lockdown. The personal value system, which began to change during lockdown, was further changed at 15 months. Originality/value This study confirms that the spring 2020 lockdown had a long-term impact on occupational competence and values.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| 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".