El Covid-19 y su impacto en la dinámica de familias con adolescentes
Bibliographic record
Abstract
The objective that this work aims to achieve is to know the impact of the Covid-19 pandemic on the families of university adolescents. This is a cross-sectional study, in which a survey was applied to 103 students who are in the first semester of the degree in Social Work and Human Development, who were selec-ted in a non-random way, so it is a sample by non-probabilistic conve-nience. A questionnaire was used as an instrument that contains The most relevant results show that more than two thirds of the fami-lies have seen their income decrea-se due to the Covid-19 pandemic (70.9%), more than a quarter of the respondents stated that they have lost a job in their family (31.1%), more than half of the students sur-veyed mentioned that a member of their family feels anxiety about the possible contagion of Covid-19 (52.4%), almost half of the Respon-dents mentioned that there are more arguments in their family due to confinement due to the pande-mic. (48.5%) and most of the anger in families occurs between parents and children, followed by arguments between children (37.9% and 25.2% respectively), almost half of the respondents indicated that the women in their family feel that there is a greater burden on household chores due to the pan-demic. (48.5%), as well as a quarter responded that women feel more workload during the pandemic. (25.2%) and more than a quarter of the students surveyed indicated that household chores are usually carried out by their mother (28.2%) and in no family they are carried out by the father (0%).
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".