INDUSTRY PERCEPTIONS OF GRADUATE ATTRIBUTE REQUIREMENTS FOR THE WORKPLACE
Bibliographic record
Abstract
At the Faculty of Engineering at the University of Manitoba research has been undertaken to determine the level of student competency in the graduate attributes as set forth by the CEAB accreditation process. This study takes an alternative view and seeks to understand the current industry requirements for a new graduate employee based on the graduate attributes. It consisted of a questionnaire completed by two groups of engineers working in a major energy corporation in the Province of Manitoba. One group consisted of senior engineers with a minimum of 15 years experience while the other was of new graduates with at minimum 18 months of service. The groups were asked to complete a questionnaire on the level of competency they felt was required for new graduates entering the workplace. This paper describes the process and the analysis of the information. Results were compared with an assessment of a new graduate’s competency levels. The information shows that while a student’s competency levels at graduation may be lower than expected they still generally meet the requirements of the workplace. Information also shows that areas of concern are not in the technical areas but rather in the professional skills.
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.
How this classification was reachedexpand
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".