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Record W4414402547 · doi:10.22215/cujs.v5i2.5326

Navigating Career Obstacles: The Role of Personality, Parental Influence, and Adaptability

2025· article· en· W4414402547 on OpenAlexaff
Bernadette Campbell

Bibliographic record

VenueCarleton undergraduate journal of science. · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicCareer Development and Diversity
Canadian institutionsCarleton University
Fundersnot available
KeywordsAdaptabilityDisengagement theoryCareer developmentPersonalityVocational educationPsychosocialTraitBig Five personality traits

Abstract

fetched live from OpenAlex

Personality traits, parental career-related behaviours, and career adaptability have been shown to influence career development, but prior research has typically examined these factors in isolation. Parental career-related behaviours refer to actions such as support, interference, or disengagement in a child’s career decision-making. Career adaptability, in contrast, reflects an individual's capacity to manage career-related challenges through psychosocial strengths like confidence and control. Despite their theoretical relevance, these variables have rarely been studied together. Consequently, there remains a gap in the literature regarding how they jointly influence career anxiety, vocational self-concept, and career exploration in emerging adults. To address this, the present study analyzed survey data from 230 undergraduate students using hierarchical regression. The results demonstrated that career adaptability was the strongest predictor of both vocational self-concept and career exploration. Conversely, neuroticism, a personality trait associated with emotional instability, was the most robust predictor of career anxiety. Notably, parental career-related behaviours did not significantly predict any of the measured outcomes. Taken together, these findings emphasize the importance of adaptability in shaping early career development. Accordingly, career counseling interventions should prioritize adaptability training to improve student outcomes and foster more confident, autonomous career decision-making.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.310
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.004
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.016
GPT teacher head0.292
Teacher spread0.276 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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