MAPPING ACADEMIC PRACTICE IN COLLEGE OF BUSINESS AND PUBLIC ADMINISTRATION: FACULTY PROFILE ON INSTRUCTION, RESEARCH, AND COMMUNITY EXTENSION
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
This study examined the relationship among faculty profiles, performance, and teaching effectiveness at Eulogio “Amang” Rodriguez Institute of Science and Technology. Using a quantitative descriptive design, data from 44 full-time faculty members were analyzed through IPCR records and evaluation results. Findings revealed that most faculty hold graduate degrees and civil service eligibility but occupy lower academic ranks. High performance in instruction and community extension contrasted with moderate research engagement. Significant correlations emerged among faculty profiles, performance, and teaching effectiveness, indicating that academic qualifications and experience influence instructional quality. The proposed developmental plan, CBPA Faculty Excellence Through Connect, Cooperate, and Collaborate (FEC³), aims to strengthen faculty competence, research productivity, and institutional alignment with quality education standards.
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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| 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