Peluang dan Tantangan : Penggunaan Media Digital di Kalangan Perempuan Jatinangor
Bibliographic record
Abstract
The discussion of digital media usage in various societal contexts is a necessity that cannot be avoided since it has both positive and negative impacts. This article will raise the issue of digital media usage by women in Jatinangor. Jatinangor is an educational area on the east side of Bandung and including the Sumedang Regency area. Jatinangor has quite dynamic social economic development and has experienced a significant change with the number of student arrivals in the area. The development of communication technology infrastructure also has implications for the growing use of digital media among women in the Jatinangor area. Using a qualitative approach with in-depth interviews observation and literature studies, this study seeks to uncover the implications of digital media among Jatinangor women related to patriarchal values that generally affect women's thoughts, attitudes and actions. The results of the study show that there are opportunities for women who use digital media to overcome some cultural barriers in gaining communication space for themselves, especially in the public domain. However, the use of digital media also challenges these women to develop selective, critical and rational attitudes that are not familiar for them. The lack of these attitudes can actually make these women objects or targets of various commercial and criminal communication activities.
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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 | 0.000 |
| 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 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.018 | 0.002 |
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".