Factors Affecting the Choice of School and Students’ Level of Interest towards the Maritime Program
Bibliographic record
Abstract
Several factors may be considered in selecting school and degree program like quality education, the people from the environment, personal choice; and accessibility of the school from students' residences. This study utilized a descriptive type of research method with Freshman Maritime students as respondents. Findings revealed that it is the personal choice of the students to enroll in maritime program in Lyceum of the Philippines University-Batangas (LPU-B) with the support primarily from their parents wherein quality education through being known as home of board topnotchers and its standards are considered big factor for their decision. They also believed that finishing maritime education would bring them in employment abroad which is basically the nature of duties and responsibilities of seafarers. High interest towards the degree program is also manifested among the maritime students. Maritime students graduated from public schools have significantly higher chance of being influenced by people in choosing the school and degree program and they also have significantly higher degree of interest towards the maritime program compared to those graduated from private schools.
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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 | 0.001 | 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) | 0.005 | 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".