Toward a Career Anchor Structure: An Empirical Investigation of Engineers
Bibliographic record
Abstract
Contrary to Schein’s theory of career anchors, which rests on the dominance of a single career anchor, the present study proposes an original career anchor structure that captures multiple dominant anchors. The analysis of data from a sample of 880 Quebec engineers supports this reconceptualization based on a circular model of career anchors. The new dynamics of career anchors shows that several anchors are complementary (e.g., creativity and challenge) while others are conflictual (e.g., challenge and security). In particular, the correlational analysis at the axial level indicates that the “self-enhancement” pole (managerial competence, identity) is negatively correlated with the “self-transcendence” (service/dedication to a cause, technical competence), whereas the pole “openness to change” (challenge, entrepreneurial creativity) is negatively correlated with the “conservation” pole (security, lifestyle). These findings can lead to more research in career management.
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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 | 0.003 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".