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Record W2996872074 · doi:10.36080/ag.v7i2.926

Peluang dan Tantangan : Penggunaan Media Digital di Kalangan Perempuan Jatinangor

2019· article· ms· W2996872074 on OpenAlexaff
Eni Maryani, Kismiyati El Karimah

Bibliographic record

VenueAvant Garde · 2019
Typearticle
Languagems
FieldSocial Sciences
TopicSMEs Development and Digital Marketing
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsDigital mediaSocial mediaDigital eraInformation and Communications TechnologySociologyPublic relationsPolitical scienceComputer scienceWorld Wide WebThe Internet

Abstract

fetched live from OpenAlex

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.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.548
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.004

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.

Opus teacher head0.015
GPT teacher head0.245
Teacher spread0.229 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2019
Admission routes1
Has abstractyes

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