Analisis Wacana Queer pada Iklan Durex Versi Restoran Favorit Baru Hanya Untuknya: #SayangBeneran
Bibliographic record
Abstract
Penelitian ini mengeksplorasi bagaimana wacana queer dijelaskan dalam iklan Durex #SayangBeneran versi “Restoran Favorit Baru hanya Untuknya” dan untuk mengetahui bagaimana iklan bekerja memanggil target audiens untuk menempati posisi subjek yang ditawarkan ideologi dalam iklan. Meminjam analisis multimodal Kress dan van Leeuwen (1996), serta perspektif semiotika iklan Williamson (1978), wacana queer dalam iklan ini menunjukan menjadi product as signifier menempeli makna terkait kesetaraan gender dalam penggunaan teknologi dan sensitivitas terhadap partner. Sebagai product as generator, iklan ini membangkitkan rasa senang, nyaman dan handal terhadap partner. Maka melihat secara keseluruhan sebagai product as currency, makna tersebut hanya bisa didapatkan dari produk Durex, sebagai bukti #SayangBeneran. Wacana queer dalam iklan ini menunjukkan kebahagiaan bukanlah sesuatu yang monolitik, serta memungkinkan negosiasi dan resistensi dari wacana yang dominan. Meskipun maskulinitas dan kode dari wacana heteroseksual dan patriarki, serta kebahagiaan yang jelas diresepkan industri terlihat dalam iklan ini tetapi appellation menunjukkan ada agensi untuk tidak menempati posisi subjek yang ditawarkan ideologi dalam iklan. Kata kunci: wacana, queer, multimodal, semiotika, iklan
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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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.039 | 0.003 |
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".