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Record W3167071123 · doi:10.36418/jiss.v2i4.239

Media Massa Vs Media Sosial : Konstruksi Realitas Perempuan

2021· article· id· W3167071123 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJurnal Indonesia Sosial Sains · 2021
Typearticle
Languageid
FieldSocial Sciences
TopicEducation, Sociology, Communication Studies
Canadian institutionsMonsanto (Canada)
Fundersnot available
KeywordsHumanitiesSociologyPhilosophy

Abstract

fetched live from OpenAlex

Abstrak: Tujuan dari tinjauan sistematis ini adalah untuk menghimpun, mengkaji, merangkum, dan menganalisis kajian-kajian tentang konstruksi Realitas Perempuan di Media Massa dan Media Sosial dari berbagai teori yang ada dalam paradigma Komunikasi Massa. Pencarian dilakukan pada Database Google Scholar menggunakan kata Kunci media massa, media social dan konstruksi realitas perempuan. Beberapa artikel teks lengkap yang menjadi acuan dalam penelitian ini untuk mendapatkan perspektif mengenai konstruksi realitas Perempuan di Media Massa dan Media Sosial. Hasil membahas mengenai Media social dan Media Massa, dan b) bias gender. Baik dalam media massa maupun media social bias gender masih terjadi. Berbagai stereotip tentang perempuan masih berlaku, sekalipun dalam media yang dinikmati oleh kalangan atas sekalipun. Kemudian dalam penelitian ini juga mendiskusikan mengenai teori yang bisa dipakai untuk memperluas kajian mengenai media massa dan efek yang ditimbulkan dengan teori dari paradigma komunikasi massa.

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.

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)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.233
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.002
Science and technology studies0.0040.004
Scholarly communication0.0000.001
Open science0.0020.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.001

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 head0.105
GPT teacher head0.388
Teacher spread0.283 · 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