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Record W4312883547 · doi:10.33826/ijmras/v05i07.5

EKSISTENSI THE EXISTENCE OF QUARTER LIFE QRISIS PHENOMENON IN YOUNG ADULTS ON MENTAL HEALTH PRE-COVID-19 AND DURING COVID-19 IN THE COMMUNITY OF THE CITY OF PAREPARE

2022· article· en· W4312883547 on OpenAlexaboutno aff
M. Natsir, Abidin Abidin, Try Ayu Patmawati, Muhammad Wajdi

Bibliographic record

VenueInternational Journal of Multidisciplinary Research and Studies · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicCOVID-19 Prevention and Impact
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)Mental healthPandemicCoronavirus disease 2019 (COVID-19)PsychologyPhenomenonValue (mathematics)GerontologyMedicinePsychiatryHistoryDiseaseInfectious disease (medical specialty)

Abstract

fetched live from OpenAlex

The formulation of the problem in this study is; (1) What is the impact of the quarter-life crisis, on adulthood before and before the pandemic; (2) How do the quarter-life crises in early adulthood affect mental health; (3) The effect of the Workshop on people who feel lost and even experience a quarter-life crisis. The aims of this study were: (1) to find out how the impact of the quarter-life crisis in early adulthood and before the pandemic; (2) to know the impact of the quarter-life crisis in early adulthood on mental health; (3) to Knowledge of the influence of the Workshop on people who feel lost and even experience the Crisis of a quarter of life. The benefits of this research. This type of research is exhibition fact research. The results showed that there was an effect of the quarter-life crisis on the prevention of Covid-19 in the people of Pare-Pare City as indicated by the value of Sig. 0.002 < 0.005 and there is an effect of a quarter of life crisis on mental health in the people of Pare-Pare City with a value of Sig. 0.014<0.05.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.020
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.223
GPT teacher head0.522
Teacher spread0.299 · 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
Published2022
Admission routes1
Has abstractyes

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Same venueInternational Journal of Multidisciplinary Research and StudiesSame topicCOVID-19 Prevention and ImpactFrench-language works237,207