Bibliographic record
Abstract
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.030 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.013 | 0.009 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.047 | 0.005 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".