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Record W4312674856 · doi:10.28932/humanitas.v5i2.3637

Hubungan antara Dukungan Orang Tua dengan Adaptabilitas Karier pada Siswa SMA di Jakarta

2021· article· id· W4312674856 on OpenAlexaff
Glory Angela, William Ben Gunawan

Bibliographic record

VenueHumanitas (Jurnal Psikologi) · 2021
Typearticle
Languageid
FieldBusiness, Management and Accounting
TopicVaried Academic Research Topics
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsSMA*HumanitiesPsychologyPhilosophyMathematics

Abstract

fetched live from OpenAlex

Tujuan dari penelitian ini adalah untuk mengetahui adanya hubungan antara dukungan orang tua dengan adaptabilitas karier pada siswa SMA di wilayah DKI Jakarta. Penelitian ini memiliki hipotesis bahwa terdapat hubungan yang positif dan signifikan antara dukungan orang tua dengan adaptabilitas karier pada siswa SMA di wilayah DKI Jakarta. Sebanyak 195 siswa SMA yang berusia 15-18 tahun berpartisipasi dalam penelitian ini dengan teknik purposive sampling. Penelitian ini menggunakan pendekatan kuantitatif dengan menggunakan skala dukungan orang tua dan Career Adapt-Ability Scale (CAAS). Data yang telah didapatkan, dianalisis menggunakan tehnik Spearman Correlation. Hasil penelitian menunjukkan nilai r = 0,257(p = 0,001<0,05) artinya hasil penelitian sesuai dengan hipotesis, yaitu terdapat hubungan yang positif antara dukungan orang tua dengan adaptabilitas karier pada siswa SMA di Jakarta. Beberapa saran melalui penelitian ini yaitu meneliti variabel lain yang berkontribusi lebih, melihat kontribusi antar variabel dan memodifikasi alat ukur sesuai dengan keadaan siswa. Kata kunci: adaptabilitas karier; dukungan orang tua; remaja

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)0.004
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 score0.024
Threshold uncertainty score0.081

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0030.001
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0240.003

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 head0.051
GPT teacher head0.274
Teacher spread0.223 · 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".

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Citations2
Published2021
Admission routes1
Has abstractyes

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