The Bigger the Storm, the Bigger the Strength: Did Social and Emotional Skills (SES) Make a Difference on a COVID-19 Lockdown Scenario Among Children and Young People?
Bibliographic record
Abstract
Little is known about the emotional experience of children and young people during lockdown, their coping strategies on COVID-19 pandemic context and their influence on the emotional state when dealing with the challenges associated with lockdown. In this study, 1031 children and young people (865 aged 8-15 years old and 166 aged 16-25 years old) answered an online self-report survey, specifically designed to assess the perceived potential contribution of SES learned/developed in the Gulbenkian Academies for Knowledge—a national initiative—in coping with the consequences of the context of the COVID-19 pandemic during the Portugal first lockdown. There are three main findings. First, the prevalent emotional pattern was predominantly negative (53.7%) for the younger participants (most frequent emotions: boredom 66.9%; worry 47.8%) and predominantly positive (52.0%) for the older participants (most frequent emotions: boredom 70.1% and tranquillity 52.6%). Second, school activities (25.2%, 8-15 subsample; 32.7%, 16-25 subsample) and self-knowledge and self-regulation activities/strategies (24.8%, 8-15 subsample; 20.0%, 16-25 subsample) were the most frequently reported by participants from both subsamples and that this has significantly interfered with their emotional state: among 8-15 subsample, they reported feeling more excited, more calm, more optimistic and more hopeful; among 16-25 subsample, they reported feeling more cheered up, more optimistic, more quiet and more hopeful. Culinary and horticultural activities predict about 4% the possibility of feeling hope, sadness, optimism, irritation, and worry (8-15 years old) and school activities contribute about 17% to the explanation of the emotional states of sadness and optimism (16-25 years old). Third, both the younger and the older participants showed a medium-superior level of socio-emotional skills and those SES predict about 20% the possibility of feeling optimistic, irritation, sad, hopeful, and bored (8-15 years old) and about 12% the possibility of feeling sadness (16-25 years old). The potential of social and emotional skills in exceptional circumstances and vulnerabilities are discussed.
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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".