Song of Marginalized Women. \nScreening Documentary Film, Program 2017 Conference Program Programme Colloque 2017, York University, Toronto
Bibliographic record
Abstract
This study will discuss the Dangdut Karawang which always brings eroticism of female's body in every show. Eroticism presented through swaying hips is inseparable from the history that surrounds. The changing Karawang district (32 miles of Jakarta, Indonesia) from agriculture to industrial make the culture in this area transformed. \n\tThis paper entitled The Song of Marginalized Women is a simple description of the social conditions on Karawang district which using dangdut as women's bodies commodification in order to serve the male sexual fantasies. On the other side Dangdut Karawang has actually become a public media to express their sexual desires in the eastern zone of cultural modesty integral to the identity of the territory exalted. \n\tThe Dangdut singer as victims of the patriarchal system to serve the needs of male sexual or economic commodity in the music industry are created. But on the other hand, these women as subjects who have the power through the appearance and actions. Therefore, dangdut performances have explanation is far more complicated than capitalism and the dominance of gender inequalities for singers. By understanding the performance of Dangdut Karawang, we could see woman singer as the subject, we will also be able to understand much more interesting explanation about the dynamics of social class and gender relations.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.092 | 0.009 |
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".