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Record W7066573480

Hubungan Antara Kematangan Emosi dan Quarter Life Crisis Pada Dewasa Awal

2023· dissertation· id· W7066573480 on OpenAlexaboutno aff

Bibliographic record

VenueUniversitas Kristen Satya Wacana Institutional Repository (Universitas Kristen Satya Wacana) · 2023
Typedissertation
Languageid
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)Life style
DOInot available

Abstract

fetched live from OpenAlex

Dewasa awal merupakan masa peralihan dari masa remaja dimana pada masa ini individu akan menghadapi banyak tekanan dan tuntutan dari lingkungan maupun dari dalam dirinya sendiri. Individu yang tidak mampu menghadapi persoalan dari adanya tuntutan tersebut diprediksi akan mengalami quarter life crisis. Quarter life crisis merupakan masa krisis yang dialami oleh individu antara usia 20-30 tahun. Salah satu factor yang mempengaruhi quarter life crisis adalah emosi. Tujuan dari penelitian ini adalah ingin mengetahui apakah terdapat hubungan antara kematangan emosi dan quarter life crisis. Penelitian ini menggunakan pendekatan kuantitatif korelasional. Subjek penelitian ini diambil dengan menggunakan Teknik sampling kuota diperoleh sebanyak 97 orang yang berusia 20-30 tahun. Hasil penelitian ini menunjukan terdapat hubungan negatif antara kematangan emosi dan quarter life crisis r = -0,478 (p < 0,01). Sumbangan efektif antara kematangan emosi quarter life crisis yaitu 22,44%. Maka dapat disimpulkan bahwa adanya hubungan negatif antara kematangan emosi dan quarter life crisis, yaitu semakin tinggi tingkat kematangan emosi seseorang, maka akan semakin rendah tingkat quarter life crisis yang dialami seseorang. Sebalinya semakin rendah kematangan emosi yang dimiliki seseorang maka semakin tinggi tinggkat quarter life crisis yang dialami

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.712
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0030.003
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0030.003
Science and technology studies0.0070.001
Scholarly communication0.0010.001
Open science0.0040.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0360.001

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 head0.011
GPT teacher head0.227
Teacher spread0.215 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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
Published2023
Admission routes1
Has abstractyes

Explore more

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