American resistance toward colonizer depicted in Assassin's Creed III
Bibliographic record
Abstract
Many video games now take historical themes as the background of the story, indirectly we also learn history while playing video games. One of the video games with a historical theme is Assassin's Creed III. Assassin's Creed III, developed by Ubisoft Montreal and released in 2012, is set against the backdrop of the American Revolution, spanning from 1775 to 1784. Many missions in Assassin's Creed III take inspiration from several famous events during the American Revolution. The researcher employed qualitative-descriptive research methods to analyze and describe the research objectives. This research use postcolonial theory by Edward Said and semiotic theory by Roland Barthes. The purpose of this research is to analyze the American resistance toward colonizer and oppression from colonial that depicted in the Assassin’s Creed III video game. In conclusion, Despite its portrayal of genuine historical events, the game takes liberties with its narrative to fit its fictional framework, albeit still featuring many authentic figures from the American Revolution. Consequently, while not entirely accurate, Assassin's Creed III provides a valuable overview of this pivotal moment in history, offering players a glimpse into the complexities of the American Revolution.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".