Bibliographic record
Abstract
The Myers-Briggs Type Indicator (MBTI) was completed by most students (n=1865) entering the University of Western Ontario (UWO) engineering program during the years 1987-1993 and has provided a stable personality profile of the engineering entry class.The personality type of this entry class of Canadian engineering students shows cross-cultural differences from similar data for American students.The UWO entry class are also significantly I_TJ (introverted, thinking and judging) in comparison with other Canadian first-year students and, additionally, the UWO engineering program graduates an even larger proportion of students with these same I_TJ preferences.On the other hand, E_FP (extraverted, feeling and perceptive) types are underrepresented in the entry class yet feature significantly both in the group of students who withdraw after or during first year and also in the group who transfer out of engineering and graduate in other non-engineering disciplines.The engineering profession would certainly benefit from a larger proportion of E_FP types who by nature adapt well to change, enjoy variety and action, are interested in people and are good communicators!In general those personality type trends which are statistically significant are those for the total group (1865) or for the male students (1601) rather than for the smaller group (264) of female students.However the female engineering students although they are significantly more ENFJ than the male engineering students both in comparing the entry groups and in comparing the engineering graduate groups are nevertheless at least equally successful (68%) as the males (56%) in graduating from the engineering program.This paper highlights the main connections between personality type and progress of students through the engineering program in terms of retention, choice of engineering discipline and engineering graduation and compares the data for male and female students.
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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 | 0.000 | 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 | 0.000 |
| 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".