Explore, Plan, Succeed!: A Career Development Study
Bibliographic record
Abstract
This experiment aligns with the career construction theory, which emphasizes the importance of adaptability in navigating career transitions (Savickas, 2005). Data from 297 students enrolled in introductory psychology courses at Carleton University were assessed using hierarchical regression analyses to explore the effects of demographics (i.e., job number, job status, GPA, year of study), parental career-related behaviors (i.e., support, interference, and non-engagement) and participation in a brief planning intervention on career curiosity, career adaptability, career anxiety, and decision-making self-efficacy. This study further explored the relationship between these career attitudinal outcomes. Results indicated a significant role of specific parental career-related behaviors in developing confidence in decision-making. The development of career adaptability resources also explained variance in students' career decision-making self-efficacy and career anxiety. Our findings contribute to the career development literature and provide insights for academics and career professionals.
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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 | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 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".