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Record W2989784799 · doi:10.35879/jik.v12i3.73

Representasi Imigran dalam Media Pertarungan Perang Dingin Perdebatan Penanganan Imigran Konteks Keamanan

2019· article· id· W2989784799 on OpenAlexaff
Ilham Prisgunanto

Bibliographic record

VenueJurnal Ilmu Kepolisian · 2019
Typearticle
Languageid
FieldSocial Sciences
TopicIslamic Studies and Radicalism
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsPhysics

Abstract

fetched live from OpenAlex

Pergerakan manusia dari satu tempat ke tempat merupakan hak manusia paling dasar sebagai mahluk. Dengan berpindahnya manusia dari satu tempat ke tempat lain maka dapat dipastikan mereka mendapatkan rezeki atau keuntungan dengan kegiatan yang mereka lakukan. Pemikiran ini menjadi dasar mengapa banyak imigran melakukan perpindahan dari satu tempat ke tempat lain. Tulisan ini ingin melihat representasi imigran dalam isi pesan media massa era pertarungan perang dingin blok barat dan timur? Dengan demikian maka akan diketahui apa biang permasalahan potensi konflik yang mungkin muncul antara imigran dengan orang tempatan. Di samping itu juga akan diketahui prediksi kejahatan (kriminalitas) dan penanganan manajemen imigran ke depan. Teori yang digunakan dalam tulisan ini adalah kajian komunikasi antar budaya, kesadaran budaya kolektif, identitas diri dan analisis isi framing. Dari pembahasan ditemukan bahwa representasi imigran sedemikian buruk dari media massa warisan perang dingin, karena gambaran perang dan penaklukan ditempelkan pada sosok mereka dalam konteks blok timur. Biang konflik ada pada identitas buruk tersebut dan perlu manajemen penangan ketat dengan mengutamakan aspek kemanusian dalam semangat keterbukaan dan pasar bebas yang ada.

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, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.557
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
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.001

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 head0.014
GPT teacher head0.273
Teacher spread0.259 · 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 designQualitative
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
Published2019
Admission routes1
Has abstractyes

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