The motivations and expectations of students pursuing maritime education
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
Abstract The ever-changing global environment has increased emphasis on the research and creation of knowledge dedicated to professional practice. The maritime industry serves as the illustrative example, of which it has transformed from a traditionally largely unskilled, labor-intensive industry to a capital-intensive, sophisticated one. This has transformed the nature of maritime education from a highly practical, hands-on approach to tertiary education emphasizing on business and analytical skills, as characterized by the increasing number of tertiary institutions offering under- and postgraduate maritime programs. However, the motivations and expectations of students pursuing such programs have remained under-researched. In this study, we have conducted a questionnaire survey towards under- and postgraduate students who pursue maritime programs. The aim is to understand their profiles, motivations, and expectations of respective programs that these students have enrolled in. Constructive recommendations and strategies are provided to contribute to an effective planning and management of program articulation.
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 | 0.000 | 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 | 0.000 |
| 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