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Record W4410044262 · doi:10.20527/kognisia.2020.04.004

HUBUNGAN EFIKASI DIRI DENGAN STRESS PADA MAHASISWA YANG BERADA DALAM FASE QUARTER LIFE CRISIS

2020· article· id· W4410044262 on OpenAlexaboutno aff
Afnan Afnan, Rahmi Fauzia, Meydisa Utami Tanau

Bibliographic record

VenueJurnal Kognisia · 2020
Typearticle
Languageid
FieldSocial Sciences
TopicChild Development and Education
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)PsychologyHistory

Abstract

fetched live from OpenAlex

Penelitian ini bertujuan untuk mengetahui hubungan antara efikasi diri dengan stress pada mahasiswa yang berada dalam fase quarter life crisis. Sampel pada penelitian ialah mahasiswa akhir Fakultas Kedokteran Universitas lambung mangkurat sebanyak 125 orang mahasiswa dengan teknik pengambilan sampel menggunakan purposive sampling. Metode pengambilan data menggunakan skala efikasi diri dan skala stress sedangkan pemilihan sampel mengunakan alat ukur quarter life crisis oleh Hassler (2009). Teknik analisis data yang digunakan adalah teknik korelasi product moment pearson dari Karl Pearson. Hasil penelitian menunjukkan bahwa terdapat hubungan efikasi diri dan stress pada mahasiswa yang berada dalam fase quarter life crisis berkorelasi . Nilai korelasi menunjukkan arah hubungan kedua variabel ialah negatif, yang berarti semakin tinggi efikasi diri maka semakin rendah stress pada mahasiswa yang berada dalam fase quarter life crisis, dan sebaliknya semakin rendah efikasi diri maka semakin tinggi stress pada mahasiswa yang berada dalam fase quarter life crisis.

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.036
Threshold uncertainty score0.071

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0020.001
Scholarly communication0.0030.001
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0180.002

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 head0.027
GPT teacher head0.278
Teacher spread0.251 · 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 source (direct Gemma or distilled Codex), 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

Citations2
Published2020
Admission routes1
Has abstractyes

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