An investigation of the skills gap between course learning outcomes of maritime business degrees and onshore employment requirements
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 paper explores key industry perceptions, through interviews with 27 senior maritime managers in Australia, Canada and the US, on the employability skills required for onshore maritime professionals. Those perceptions are then compared to the skills identified from the collected nine Course Leaming Outcomes (CLOs) of nine maritime business degrees. The findings show that CLOs and maritime industry requirements tend to converge in areas such as knowledge, self-management and computer/IT skills. Less alignment was evident in CLOs relating to communication and problem solving. By giving more attention to these two CLOS in terms of specific emphasis and depth of study, students will gain more comprehensive skill sets for these critical areas. This paper also recommends that including adaptability, flexibility and an inquiring mind in CLOs may enable students to better respond to the dynamism and complexity inherent in the maritime industry.
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 | 0.000 | 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 | 0.001 |
| 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