Graduates Employment: Valuable of Curtin University of Technology Sarawak Graduates
Bibliographic record
Abstract
The main objective of this research is to study the valuable of Curtin University of Technology Sarawak’s graduates in 2006, as well as to study graduates’ perception and recommendation on programs offered. Questionnaires were distributed to School of Business and School of Engineering’s graduates before the Graduation Ceremony held on 11th May 2006 at the Imperial Hall, Mega Hotel. The study found that the employment rate is 64.9% in 2006. Unemployment rate dropped from 36% in 2004 to 25.3% in 2005 and then increased to 35.1% in 2006, however, from this unemployment group, it is found that 58.5% was ‘Still seeking for work’ scenario, while 32.3% took a break, 6.2% further studies, 1.5% choose not to work and 1.5% find difficult in getting a suitable job. The study also shows that around 69.17% of the Curtin’s graduate salary ranges are between RM1000 – RM1500 and RM1500 – RM1800. Related to graduates’ perception on the university, majority of students are very satisfied with the program offered by the school and even like to recommend their family members to study in this institution. However, number of recommendations was provided by the graduates to improve the quality of the programs. The program to be more relevant to the needs of the industry, especially industry training and practical work experiences, constant visitation to industry workplaces for better learning, applications towards theoretical components and increased contemporary knowledge currently practiced at the workplace to be brought into the classroom.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".