Impact of Covid19 Pandemic on the Socio- Economic Status of Low- Income Parents of High School Students
Bibliographic record
Abstract
This study investigated the socio-economic effects of COVID19 pandemic on families as well as ways to cope with the negative impacts. The respondents were parents of students enrolled in Lapaz National High School, San Narciso District of Zone 3, DepEd Division of Zambales, Philippines. The study was conducted on the third quarter of the academic year 2020-2021. This study utilized mixed methods of research design. Findings of the study revealed that majority of the parent-respondents are female who married with 4 family members who are bachelor’s degree holder, self-employed and are low income earners but not poor. They agreed on the impact of COVID-19 pandemic to their economic sufficiency. ANOVA computation showed a no significant difference on the perceived impact of COVID-19 pandemic on the economic sufficiency of the parent-respondents when grouped according to civil status, monthly income, size of family and years as recipients of 4P’s. There is significant difference on the perceived impact of COVID-19 pandemic on the social upliftment of the parent-respondents when grouped according to years as recipients of 4P’s
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".