Fenomena thrifting sebagai budaya populer masyarakat pasar pagi Tugu Pahlawan kota Surabaya
Bibliographic record
Abstract
Topik kajian penelitian ini ialah tentang bagaimana gambaran fenomena belanja pakaian bekas impor atau bisa juga disebut thrifting yang tengah banyak digandrungi oleh masyarakat apabila dilihat dari sudut pandang kajian budaya populer, juga melihat kalangan mana saja yang meminati kegiatan ini serta menganalisis motif atau latar belakang mereka memilih thrifting sebagai minat mereka. Penelitian ini dilakukan di sebuah pasar yakni Pasar Pagi Tugu Pahlawan Surabaya yang mana sudah dikenal luas oleh masyarakat kota Surabaya sebagai destinasi belanja pakaian thrifting. Penelitian ini menggunakan metodelogi kualitatif yang kemudian dikaji menggunakan pedoman dari teori- teori Budaya Populer mengenai: Peran media massa, Eksistensi diri, dan juga budaya konsumtif yang mana hal tersebut sangat lekat dengan kajian-kajian budaya populer. Dari penelitian ini ditemukan : (1) penggunaan kata thrifting sedikit banyak mengubah citra pakaian bekas sebagai barang konsumsi (2) kalangan peminat thrifting datang dari : Pelajar/Mahasiswa (16-20 tahun), Quarter Life Age (20-30 tahun), dan Usia Lanjut (50 tahun keatas) (3) Motif masyarakat dalam ber-thrifting yakni misi lingkungan, pride, penghematan, dan resfreshing. The topic of this research study is about how to describe the phenomenon of shopping for imported used clothing or it can also be called thrifting which is being loved by many people when viewed from the point of view of popular culture studies, also seeing which groups are interested in this activity and analyzing the motives or backgrounds of their choosing. thrifting as their interest. This research was conducted in a market, namely Pasar Pagi Tugu Pahlawan Surabaya which is widely known by the people of the city of Surabaya as a shopping destination for thrifting clothes. This study uses a qualitative methodology which is then studied using guidelines from Popular Culture theories regarding: The role of mass media, self-existence, and also consumptive culture which are closely related to popular culture studies. From this research, it was found that: (1) the use of the word thrifting has changed the image of used clothes as consumer goods, (2) those who are interested in thrifting come from: Students (16-20 years), Quarter Life Age (20-30 years), and Elderly (50 years and over) (3) The motives of the community in thrifting are environmental mission, pride, saving, and refreshing.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.031 | 0.004 |
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".