Experiences of undergraduate students from portuguese-speaking countries during the COVID-19 pandemic
Bibliographic record
Abstract
Objective: To explore experiences of Portuguese-speaking undergraduate students during the COVID-19 pandemic.Methods: This is a qualitative descriptive study carried out from August to December 2022 with 41 Portuguese-speaking undergraduate students. Virtual interviews were carried out with audio-record. The participant’s speeches were transcribed and processed in IRAMUTEQ and analyzed using the Descending Hierarchical Classification.Results: A total of 20,716 occurrences of words were observed, and six categories emerged: Media information and fear of risk of acquiring the disease; Negative effects of social isolation due to COVID-19; Reorganizing the routine during the pandemic period; Concerns about the shift from on-site teaching to online teaching; Impacts of the pandemic on future plans; Adaptation to changes and the new lifestyle to control COVID-19. The partipant’s speeches shown that COVID-19 pandemic has strongly affected the academic life of Portuguese-speaking undergraduate students with negative repercussions on mental well-being, adaptation to social isolation, difficulty in maintaining a productive routine, experiencing episodes of anxiety and concerns regarding online teaching, insecurity and anguish due to changes in future plans and a new lifestyle.Conclusions: Experiences of Portuguese-speaking undergraduate students during the COVID-19 pandemic has shown the impact of the emerging scenario in their mental health, life adaptation and academic routine. These results can subsidize the develop of strategies to promote mental health of undergraduate students, especially after COVID-19 pandemic, aiming at improving student’s quality of life and well-being, and equality in access to quality education.
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 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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".