Personality maturation among emerging adults and future career success
Bibliographic record
Abstract
Purpose The purpose of this paper is to examine the role of maturation processes – personality change and reflectivity as characterized by greater awareness to self and others – during emerging adulthood in predicting career success. Design/methodology/approach A sample of 205 of Israeli emerging adults was followed over a 12-year period. Participants completed measures of self-criticism at age 23 and 29, reflectivity at the age of 29 and subjective and objective career outcomes such as satisfaction with work and level of income at the age of 35. Hierarchical regressions determined the extent that decreases in self-criticism as well as greater reflectivity that predicted future career success. Findings The findings of this paper indicated that greater decreases in self-criticism were longitudinally associated with less frequent negative experiences at work and lesser tendency to have doubts about one’s career. Greater reflective capacity was longitudinally associated with a future higher income, greater career satisfaction and a stronger perception of one’s career as a means to implement inner interests. Research limitations/implications The results of this paper suggest that decreasing negative self-perception and enhancing awareness about self and others might facilitate a future career success. Originality/value This is among the first studies that demonstrate the role of personality maturation during emerging adulthood for future career success.
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.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".