The Stereotyping of Indonesian in Sacha Stevenson's Videos Entitled How to Act Indonesian in YouTube
Bibliographic record
Abstract
Sacha Stevenson is a Canadian Caucasian who is living in Indonesia. She \nbecame famous in Indonesia since she has uploaded the video of herself to YouTube \n“How to Act Indonesian”. Sacha’s videos reflect the stereotype of Indonesian people. \nBased on the reality, the phenomena that occurred in the Indonesian’s daily life \nusually, she attempted to capture and represent these phenomena into her videos. This \nstudy’s aim is to identify and examine the representation of Indonesian society \nthrough Sacha’s video in order to find how the stereotype of Indonesian society \nwhich is delivered from Sacha’s point of view by using theory analyzing video that \nwas proposed by John Fiske in his book entitled Television Culture and in order to \nanalyze the issue, the researcher used the theory of stereotyping by Richard Dyer. \nThe type of this study was qualitative approach by taking the videos that \nshows stereotype issues. The method of the data collection used video entitled “how \nto act Indonesian” as the data source and another supported data from online and \nbooks. The result obtained in this research is stereotype works through the ideology, \niconography and individual types which is depicted in the video. Based on the results \nof the study concluded that the representation of Indonesian society in Sacha’s video \nthat Indonesian society is stereotyped as Immorality, inhumanity, irrational, also \nIndonesian is stereotyped as nation that the environment is still not organized well.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".