MétaCan
Menu
Back to cohort
Record W7055884756

DUKUNGAN SOSIAL DAN QUARTER LIFE CRISIS PADA MAHASISWA DENGAN LATAR BELAKANG ORANG TUA BERCERAI

2022· dissertation· en· W7055884756 on OpenAlexaboutno aff

Bibliographic record

VenueUMM Institutional Repository (University of Maine at Machias) · 2022
Typedissertation
Languageen
FieldEngineering
TopicLaser Design and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)Nonprobability samplingSocial supportScale (ratio)Life satisfactionSurvey researchData collection
DOInot available

Abstract

fetched live from OpenAlex

Students with divorced parents in addition to having academic demands are also less able to develop secure attachments as early adults. Meanwhile, in early adulthood, individuals are faced with new responsibilities and developmental tasks so that they are vulnerable to experiencing a quarter life crisis where one of the underlying factors is related to demands from the environment. Social support can be a barrier to stress symptoms during stressful events. The purpose of this study was to determine the relationship between social support and quarter life crisis in college students with divorced parents. The study used a correlational quantitative approach with 192 participants. The research subjects were taken using purposive sampling technique with the criteria that the students were male or female, aged 18-25 years, having parents divorced when they were in their teens (13-18 years). The research instrument consisted of the Multidimensional Scale of Perceived Social Support (MSPSS) and the Quarter Life Crisis scale. Data analysis using Pearson Product Moment correlation. The results showed that there was a negative relationship between social support and quarter life crisis in students with divorced parents (r = -0.342; p 0.000 <0.05). So the higher the social support, the lower the quarter life crisis for students with divorced parents or vice versa.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
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 score0.116
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.006
GPT teacher head0.183
Teacher spread0.177 · 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.

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
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueUMM Institutional Repository (University of Maine at Machias)Same topicLaser Design and ApplicationsFrench-language works237,207