Perspectives on 40‐year careers—University of Calgary Chemical & Petroleum Engineering graduating class of 1983
Bibliographic record
Abstract
Abstract Only a few of the students who graduated from Chemical & Petroleum Engineering at the University of Calgary found jobs in 1983 because of a severe recession and the National Energy Program artifically deflating the oil price. Despite the slow start to their careers, the graduates have made substantial contributions to industry, government agencies, and academia. They worked on over 60 projects in more than 40 countries, many of which were valued in the billions of dollars (excluding projects in Canada). Because of the volatility in the petroleum industry, the graduates often moved from one company to another: 6 individuals worked for 10 or more companies, while only 2 spent their entire career at a single company. In 1981, we were told that the half‐life of an engineering career was 5 years, but while many did take up senior management positions and business roles, most remained very close to the engineering profession throughout their careers. Here, we summarize the career paths in broad terms, like how frequently graduates changed jobs, how much time they averaged in each company, and mention the role of education in their work. Of the 60 students who graduated in 1983, this perspective article excludes seven engineers who passed away prematurely, and another seven who could not be reached.
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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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.022 | 0.003 |
| Scholarly communication | 0.008 | 0.002 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.005 | 0.006 |
| Insufficient payload (model declined to judge) | 0.033 | 0.006 |
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".