Technological Determinism in Patterns of Communication and Social Behavior Change in Indonesian Society
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This article discusses the penetration of communication technologies in communication and social behavior patterns of rural and urban communities. The Internet was not able to erode the sense of nationalism and replace it with global values. This study also illustrates the effective communication with family, neighbors, or friends through social media in both urban and rural. An analysis shows that the internet does not affect prosocial attitudes, in traditional, moderate, and modern societies in urban and rural communities. Furthermore, face to face communication is still reliable when communicating within the family. Communication technology helps to communicate outside the family, such as a neighbor or friend. It is also suggested social media less capable of enabling a fully functioning society. matic investment risk. The authors propose an original non-traditional approach to the solution of two interrelated problems: investment climate diagnostics and investment risk level evaluation. The technique can be applied by both an investor for making an investment decision and an issuer for analyzing reasons of the low investment object attractiveness. It makes it possible to identify the barrier and restrictive factors determining a high risks and to develop measures to reduce them. The advanced algorithm, step-by-step methodology, and decision support system for assessing investment climate and unsystematic investment risk were described and formalized in the paper. Scientific and practical significance lies in the fact that the complex analysis and evaluation method proposed allows management decisions to be argued. the author’s technique will significantly reduce the role of the subjective factor caused by expert evaluation and uncertainty factors, improve the validity and reliability of the investment climate and risk assessments, and help to make an adequate decision about risk elimination.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 it