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Record W7162087139 · doi:10.56326/jpk.v5i2.7488

Pengaruh Career Exploration Terhadap Career Anxiety pada Mahasiswa Tingkat Akhir di Kota Makassar

2025· article· W7162087139 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJurnal Psikologi Karakter · 2025
Typearticle
Language
FieldPsychology
TopicStudent Stress and Coping
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsNonprobability samplingAnxietySampling (signal processing)Scale (ratio)Career counseling

Abstract

fetched live from OpenAlex

Masa perkuliahan merupakan tahap penting dalam mempersiapkan karier, namun kurangnya pemanfaatan, tingginya persaingan, angka pengangguran, serta keterbatasan pemahaman diri membuat mahasiswa rentan mengalami Career Anxiety. Penelitian ini bertujuan untuk mengetahui apakah terdapat pengaruh career exploration terhadap Career Anxiety pada mahasiswa tingkat akhir di Kota Makassar. Teknik pengambilan sampel pada penelitian ini menggunakan Teknik non-probability sampling dengan metode purposive sampling dengan jumlah sampel sebanyak 408 responden. Peneliti menggunakan skala Career Exploration Survey dan Career Anxiety Scale dengan menggunakan uji regresi linear berganda. Hasil penelitian menemukan bahwa semua dimensi career exploration berpengaruh secara signifikan terhadap Career Anxiety dengan nilai signifikansi (p = 0,110; p<0,05) dengan kontribusi sebesar 3.2% (R Square = 0.032). Dimensi environment exploration berkontribusi sebesar 2.8%, self-exploration berkontribusi sebesar 2.9%, purpose-system exploration 2.9%, dan amount of information berkontribusi sebesar 3.2%

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.214
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.001

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 head0.063
GPT teacher head0.333
Teacher spread0.270 · 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