X’s and Y’s in the Midst of the Pandemic: Generational Identity, Mental Well-being and Life Satisfaction Among Filipino Adult Learners
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
<p style="text-align: justify;">The 2019 novel Coronavirus disease (COVID-19) has increased the mental health challenges and decreased the quality of life among students and the general adult population. However, adult learners and non-traditional students who are currently at their quarter and midlife during the pandemic, remain underrepresented in well-being research. Moreover, the unique sociocultural and historical contexts specific to generational cohorts may have an impact on the way they experience and cope with the challenges brought about by the pandemic. This study sought to determine the relationships among generational identity, mental well-being and life satisfaction among Millennial and Generation X Filipino adult learners. A total of 543 adult learners participated in this online cross-sectional study. Findings suggest that young millennials reported lower levels of mental well-being and life satisfaction compared to old millennials and Gen Xers. Moreover, mental well-being was found to be a predictor of life satisfaction among Filipino adult learners, regardless of their generational identity. Schools must implement initiatives to monitor and address mental health issues among adult learners, contextualized to quarter and midlife contexts.</p>
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.
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 | 0.005 | 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 | 0.000 | 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) | 0.001 | 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 it