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EXPLORING THE CONNECTION: ALEXITHYMIA DAN KECANDUAN MEDIA SOSIAL PADA MAHASISWA

2024· article· id· W4402093572 on OpenAlexaboutno aff
Dewi Ayu Fathimah Az-Zahra, Alfin Miftahul Khairi

Bibliographic record

VenueHUDAN LIN NAAS JURNAL ILMU SOSIAL DAN HUMANIORA · 2024
Typearticle
Languageid
FieldSocial Sciences
TopicEducational Methods and Impacts
Canadian institutionsnot available
Fundersnot available
KeywordsAlexithymiaConnection (principal bundle)PsychologySocial psychologyMathematics

Abstract

fetched live from OpenAlex

Penelitian ini bertujuan untuk mengeksplorasi keterkaitan antara tingkat alexithymia dan tingkat ketergantungan pada media sosial di kalangan mahasiswa Program Studi Bimbingan dan Konseling Islam di UIN Raden Mas Said Surakarta. Pendekatan kuantitatif korelasional digunakan, dengan penerapan uji Spearman Rank sebagai metode analisis data. Teknik purposive sampling diterapkan untuk pemilihan sampel, dan sebanyak 155 partisipan terlibat dalam penelitian ini. Pengukuran menggunakan Toronto Alexithymia Scale (TAS-20) sebagai instrumen utama, dan skala kecanduan media sosial yang dikembangkan oleh Al-Menayes. Hasil analisis data dengan uji korelasi Spearman Rank menunjukkan nilai signifikansi p = 0,000 (p < 0,05). Temuan ini mengindikasikan diterimanya hipotesis penelitian, khususnya menegaskan adanya hubungan signifikan antara tingkat alexithymia dan tingkat ketergantungan pada media sosial pada mahasiswa Program Studi Bimbingan dan Konseling Islam di UIN Raden Mas Said Surakarta.TRANSLATE with x EnglishArabicHebrewPolishBulgarianHindiPortugueseCatalanHmong DawRomanianChinese SimplifiedHungarianRussianChinese TraditionalIndonesianSlovakCzechItalianSlovenianDanishJapaneseSpanishDutchKlingonSwedishEnglishKoreanThaiEstonianLatvianTurkishFinnishLithuanianUkrainianFrenchMalayUrduGermanMalteseVietnameseGreekNorwegianWelshHaitian CreolePersian // TRANSLATE with COPY THE URL BELOW Back EMBED THE SNIPPET BELOW IN YOUR SITE Enable collaborative features and customize widget: Bing Webmaster PortalBack//

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.772
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.002
Science and technology studies0.0040.001
Scholarly communication0.0030.002
Open science0.0010.000
Research integrity0.0000.002
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 head0.210
GPT teacher head0.377
Teacher spread0.167 · 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".

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Citations0
Published2024
Admission routes1
Has abstractyes

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