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Record W7130505318 · doi:10.33701/jtkp.v7i2.5771

Kesenjangan Generasi dan Geografis dalam Literasi Digital: Implikasinya terhadap Kebijakan E-Government di Kabupaten Sorong

2025· article· W7130505318 on OpenAlexaff
Eduardus Julio Bastian Matutina, Mohammad Rezza Fahlevvi

Bibliographic record

VenueJurnal Teknologi dan Komunikasi Pemerintahan. · 2025
Typearticle
Language
FieldSocial Sciences
TopicIslamic Finance and Communication
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsAgency (philosophy)Government (linguistics)

Abstract

fetched live from OpenAlex

Penelitian ini menganalisis paradoks literasi digital di Kabupaten Sorong, di mana skor indeks literasi yang relatif baik tidak sejalan dengan adopsi e-government yang rendah. Menggunakan pendekatan Mixed Methods dengan strategi Concurrent Embedded Design, penelitian ini menggabungkan survei terhadap 50 responden dan wawancara mendalam dengan pemangku kebijakan serta tokoh masyarakat. Hasil penelitian mengungkap kesenjangan generasi yang asimetris: Generasi muda memiliki kecakapan tinggi (Skor 78) namun mengalami Frustrated Agency akibat blokade infrastruktur, sedangkan generasi dewasa menghadapi Double Jeopardy (keterbatasan skill dan akses) dengan kerentanan keamanan yang tinggi (Skor 60). Temuan baru menunjukkan bahwa resistensi digital bukan sekadar masalah teknis, melainkan akibat Institutional Trust Deficit dan benturan budaya komunikasi lokal (High-Touch Culture) yang memandang teknologi sebagai entitas yang mengasingkan. Penelitian ini merekomendasikan strategi intervensi asimetris: penyediaan infrastruktur sebagai hak dasar, fasilitasi kanal ekspresi bagi pemuda, serta pendekatan layanan hibrida dan proteksi keamanan bagi generasi dewasa. Kata Kunci: Kesenjangan Digital, E-Government, High-Touch Culture, Kepercayaan Institusional, Kabupaten Sorong.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.667
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.002
Science and technology studies0.0030.002
Scholarly communication0.0020.002
Open science0.0050.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0000.000

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 head0.016
GPT teacher head0.281
Teacher spread0.265 · 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 designOther design
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
Published2025
Admission routes1
Has abstractyes

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