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Record W4405434414 · doi:10.30996/jiwa.v2i03.11923

Dukungan sosial teman sebaya dengan tingkat quarter life crisis pada individu dewasa awal

2024· article· en· W4405434414 on OpenAlexaboutno aff
Dandy Putra Hariyanto, Amherstia Pasca Rina, Dwi Sarwindah Sukiatni

Bibliographic record

VenueJurnal Jiwa · 2024
Typearticle
Languageen
FieldMedicine
TopicPublic Health and Nutrition
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)PsychologyHumanitiesArtHistory

Abstract

fetched live from OpenAlex

Abstract This research aims to determine the relationship between peer social support and the level of quarter life crisis in early adult individuals. The subjects of this research were vulnerable individuals aged 19-29 years in the city of Surabaya with a total of 100 respondents. Based on analytical calculations using Spearman Rho, a correlation score of 0.225 was obtained with a significance level of 0.000 (p<0.05), meaning that there was no negative relationship between social support and the quarter life crisis. The result is that the higher the social support an individual has, it has no effect on the level of quarter life crisis experienced by that individual. Keywords: social support, Quarter life crisis, adult individuals Abstrak Penelitian ini bertujuan untuk mengetahui hubungan antara dukungan sosial teman sebaya dengan tingkat quarter life crisis pada individu dewasa awal. Subjek penelitian ini adalah individu di rentan usia 19-29 tahun yang ada di kota Surabaya dengan jumlah responden 100 orang. Berdasarkan perhitungan analisis menggunakan Spearman Rho diperoleh skor korelasi Sebesar 0.225 dengan taraf signifikansi sebesar 0.000 (p<0.05) artinya tidak terdapat hubungan negatif antara dukungan sosial dengan quarter life crisis. Hasilnya semakin tinggi dukungan sosial yang dimiliki individu tidak berpengaruh terhadap tingkat quarter life crisis yang dialami oleh individu tersebut. Kata Kunci: Dukungan Sosial, Quarter life crisis, Remaja Awal

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.290
Threshold uncertainty score0.698

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.018
GPT teacher head0.304
Teacher spread0.286 · 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 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
Published2024
Admission routes1
Has abstractyes

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