Personal Factors and Mental Health of Public School Teachers in Lavezares I District, Division of Northern Samar
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
The study focused on the personal factors that influence the mental health of public-school teachers. This was conducted among elementary and secondary teachers in Lavezares I District, Division of Northern Samar. This study employed descriptive-correlational research design involving 30 participants chosen through purposive sampling. Data from survey questionnaire were analyzed using Descriptive Statistics and Pearson Product-Moment Correlation Coefficient. This was conducted within the third quarter of the school year 2021-2022. Findings showed that more of them are between 31–38 years old. Majority of them are female, married, with net take home pay of 5,000 – 11,499, recipients of completed academic requirement (CAR) for their MA, hold teacher III position, have been in the service for 7 years and below, with not more than 2 trainings and seminars related to distance learning attended.
 In terms of the mental health, results showed that teachers who are at the forefront of distance learning implementation manifest severe stress, moderate anxiety, and mild depression. The demographic profile in terms of age, gender, civil status, net take home pay, highest educational attainment, teaching position, length of service, and the number of attended trainings and seminars related to distance education found not significantly correlated teachers’ mental health. The findings of this study will provide input how school can address personal factors and mental health issues of teachers to become resilient in the face of adversities.
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.000 | 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 it