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Record W4404024847 · doi:10.22215/cujs.v3i1.4805

Personality, Parents, & Planning: Predicting Career Attitudinal Outcomes in Undergraduate Students

2024· article· en· W4404024847 on OpenAlexaff
Bernadette Campbell

Bibliographic record

VenueCarleton undergraduate journal of science. · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicCareer Development and Diversity
Canadian institutionsCarleton University
Fundersnot available
KeywordsPersonalityPsychologyMedical educationCareer planningApplied psychologySocial psychologyPedagogyMedicine

Abstract

fetched live from OpenAlex

Personality, parental career-related behaviors, and career construction-based interventions have been shown to impact career adaptability. This study examined the influence of these factors on career concern, an understudied but important dimension of career adaptability, and career anxiety. Data from 297 students enrolled in introductory psychology courses were assessed using hierarchical regression analyses to explore the effects of personality factors (i.e., conscientiousness and neuroticism), parental career-related behaviors (i.e., support, interference, and non-engagement), and participation in a brief planning intervention on career concern and career anxiety. This study further explored the relationship between these career attitudinal outcomes and life satisfaction. Results indicated a significant role of personality factors and specific parental career-related behaviors in career concern and career anxiety. Career concern and conscientiousness also played significant predictive roles in life satisfaction. Our findings contribute to the career development literature and provide insights for both academics and career professionals.

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)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.091
Threshold uncertainty score0.982

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0010.000
Research integrity0.0000.001
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 head0.075
GPT teacher head0.368
Teacher spread0.294 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2024
Admission routes1
Has abstractyes

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