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Record W7047661671

Hubungan antara Alexithymia dengan Child Neglect Pada Orang Tua yang memiliki Tingkat Pendidikan Rendah di Desa Paoh Benua

2024· other· id· W7047661671 on OpenAlexaboutno aff

Bibliographic record

VenueSelamat Datang di Repository UAD (Universitas Ahmad Dahlan) · 2024
Typeother
Languageid
FieldPhysics and Astronomy
TopicSuperconducting and THz Device Technology
Canadian institutionsnot available
Fundersnot available
KeywordsAlexithymiaNeglectToronto Alexithymia ScaleChild abuse
DOInot available

Abstract

fetched live from OpenAlex

Penelitian ini bertujuan untuk mengetahui hubungan antara alexithymia dengan child neglect pada orang tua berpendidikan rendah di Desa Paoh Benua, Sepauk, Kabupaten Sintang. Subjek penelitian ini adalah 147 orang tua berpendidikan rendah di Desa Poah Benua. Penelitian ini menggunakan metode kuantitatif dengan dua Skala yaitu alexithymia (16 aitem) dan child neglect (20 aitem). Sampling yang digunakan teknik cluster random sampling, sedangkan analisis data penelitian menggunakan teknik pearson product moment. Hasil penelitian menunjukkan koefisien korelasi (r) sebesar 0,252 dengan taraf signifikansi sebesar 0,002 (p<0,01) yang artinya terdapat hubungan positif yang sangat signifikan antara alexithymia dan child neglect. Alexithymia memberikan sumbangan efektif sebesar 6% terhadap Child Neglect. Artinya, sekitar 94% didapatkan dari variabel lain. Berdasarkan hasil analisis data penelitian, dapat disimupulkan bahwa terdapat hubungan yang positif antara alexithymia dengan child neglect pada orang tua berpendidikan rendah di Desa Paoh Benua.

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, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.172
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0030.002
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0040.005

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 head0.009
GPT teacher head0.218
Teacher spread0.209 · 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; both teacher heads agree on what is shown here.

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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