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Record W4400414376 · doi:10.62255/noval.v2i1.26

Comparison of Quarter Life Crisis in Adolescents

2024· article· en· W4400414376 on OpenAlexaboutno aff
Aizatul Fikri, M. Rosyid Syaifulloh, M. Dery Siraj Assauri, Revaliya Maghfirani Santoso, Salmania Khnsa' Nabila Desandyansyah, Yuvica Novita Gunawan

Bibliographic record

VenueInovasi Lokal · 2024
Typearticle
Languageen
FieldPsychology
TopicHealth and Well-being Studies
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)PsychologyHistory

Abstract

fetched live from OpenAlex

Quarter Life Crisis is a new term related to the stages of human socio-emotional development. Approaching the age of 25, individuals usually have to face new life situations such as work and marital status, as well as changes in mindset that are more mature from adolescence to adulthood. This situation also makes individuals at the peak of self-maturity, when entering the age of 25, question their own lives, doubt their own choices, feel confused about the things they are living, and begin to recall the past. The type of research used for this research is qualitative with interview techniques. The primary data source is in the form of interviews regarding their understanding of the quarter life crisis. Our secondary data sources are information from journals or other internet sources. Interview results show that individuals in early adulthood who experience a quarter life crisis feel anxious and afraid, which is caused by uncertainty about the future, social pressure, hormonal changes, and others. In the publication, we present two contents on the Instagram page (reels and feed).Our reels upload reached 714 views until October 16, 2023 at 4.10 PM. Meanwhile on Instagram feeds, our content reached 36 users within 15 hours through mass media the information conveyed can be accessed more widely and spread quickly. It is expected that this social campaign can change several aspects of the target audience, such as awareness, attitude, & action.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.258
Threshold uncertainty score0.906

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.053
GPT teacher head0.416
Teacher spread0.363 · 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 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

Citations0
Published2024
Admission routes1
Has abstractyes

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