Motivational Resources of Agency in Adolescents’ Career Development in Postsecondary Transition: More than Being Self-Efficacious
Bibliographic record
Abstract
A sense of agency is crucial for self-directed career development, particularly during the postsecondary transition, a period shaping career trajectories. This study examined autonomy and self-efficacy as pillars of agency, using longitudinal data from a sample of 637 French-Canadian adolescents (54% girls, M age = 16) before and after the transition. Participants reported on career decision-making autonomy (intrinsic, identified, introjected, and external motivations) and self-efficacy, along with career exploration and commitment. Latent profile analysis identified four subgroups of youth, including youth with high autonomous motivations and self-efficacy, displaying a fully agentic profile, and others with lop-sided agency, marked by strong controlled motivations. Relative weigh analysis indicated self-efficacy as the strongest predictor, with intrinsic motivation making a unique albeit weaker contribution to exploration. These findings highlight the importance of fostering both autonomy and competence, while also revealing the detrimental implication of reward- and punishment-driven motivation on career identity integration.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".