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Record W4409608443 · doi:10.56326/jpk.v4i2.3529

Pengaruh Kebersyukuran Terhadap Quarter Life Crisis pada Mahasiswa di Kota Makassar

2024· article· id· W4409608443 on OpenAlexaboutno aff
Rahmia Mursid, Tarmizi Thalib, A. Nur Aulia Saudi

Bibliographic record

VenueJurnal Psikologi Karakter · 2024
Typearticle
Languageid
FieldAgricultural and Biological Sciences
TopicFood Security and Socioeconomic Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)Political scienceHistoryArchaeology

Abstract

fetched live from OpenAlex

Penelitian ini bertujuan untuk mengetahui pengaruh kebersyukuran terhadap quarterlife crisis pada mahasiswa di ota Makassar. Quarterlife crisis merupakan fase yang terjadi pada mahasiswa dimana mereka merasa ragu akan kemampuan diri sendiri, memiliki banyak tekanan, membandingkan diri dengan pencapaian orang lain, serta kekhawatiran akan masa depan yang diukur menggunakan skala Quarterlife Crisis sedangkan kebersyukuran merupakan suatu pemikiran dan perasaan dalam diri yang dipenuhi hal positif, rasa kecukupan, melibatkan orang lain terhadap segala kebaikan dalam hidupnya serta memiliki rasa terima kasih terhadap apa yang telah didapatkan dari Tuhan Yang Maha Esa yang diukur menggunakan skala GRAT Scale. Penelitian ini merupakan penelitian kuantitatif dengan sampel yaitu mahasiswa di Kota Makassar berjumlah 375 orang. Hasil penelitian ini menunjukkan bahwa terdapat pengaruh secara signifikan pada kebersyukuran terhadap quarterlife crisis pada mahasiswa di Kota Makassar dengan nilai konstribusi sebesar 36,2%.

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.

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)0.000
metaresearch head score (Gemma)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.029
Threshold uncertainty score0.098

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.001
Scholarly communication0.0040.001
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0290.003

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 head0.020
GPT teacher head0.238
Teacher spread0.219 · 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

Citations1
Published2024
Admission routes1
Has abstractyes

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