Determinants of Desired Career Paths among Canadian Engineers
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
Cette recherche vise à étudier six orientations que les ingénieurs peuvent vouloir donner à leur carrière et à comprendre ce qui les amène à privilégier certains choix de carrière. Les possibilités de carrière retenues sont la voie de gestion, la voie technique, la voie de projet, la voie entreprenieuriale, la voie hybride et une nouvelle carrière. Une enquête par questionnaire a été réalisée auprès de 900 ingénieurs à travers le Québec, dont 403 femmes. Les résultats démontrent principalement que plusieurs des facteurs étudiés (principalement les facteurs individuels comme les ancres de carrière et la scolarité) permettent de distinguer efficacement les ingénieurs qui désirent poursuivre une carrière en gestion de ceux qui aspirent à d'autres voies de carrière.
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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