Employees’ Welfare and Teaching Performance in Gitagum District, Division of Misamis Oriental
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
Employee’s welfare which is also known as staff welfare, refers to the services and benefits provided by an employer for the well- being of employees. This study sought to examine the employees’ welfare and teaching performance in the public schools of Gitagum District. In particular, the specific aimed was to determine the respondents’ perception level of employees’ welfare in terms of physical, mental/emotional, social, occupational, spiritual and financial the level of teachers’ performance based on IPCRF and the significant relationship of employees’ welfare and teaching performance. The respondents of the study were the two hundred eighty-five (285) public school teaching employees’ of Gitagum District using the universal sampling techniques. A descriptive researched design was employed in the study and the questionnaires were adopted based on DepEd Order No. 23, s. 2022 and from IPCRF Rating. The quantitative data were analyzed using mean standard deviation and Pearson Product Moment of Correlation. The findings revealed that the level of employees’ welfare was highly evident and the respondents’ performance was very high. There was a significant relationship between the respondents’ welfare and teaching performance. Hence employees’ welfare has positive correlation to the respondents’ performance. This can lead to greater motivation, commitment, satisfaction and productivity. It is recommended that the department and school administrators should improve on the welfare scheme they offer to teachers to achieve quality education through a high-level teacher performance.
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 | 0.001 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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