Analyzing The Protagonist Character of Elliot Anderson As Seen In The Film “Black Or White” By Mike Binder
Bibliographic record
Abstract
‘Black or White’ described of complains, blames, jealously, selfishness, and understanding about the family love from Elliot Anderson’s character. This research is aimed to know the character of Elliot Anderson as main character by analyzing the evidence from the dialogues and his actions in the film. To know about the character of Elliot Anderson, the writer used the descriptive qualitative method in this paper. The writer employs himself to collect the data by reading script, watching the film and marking them. The writer used the film of Black or White by Mike Binder released in 2014 by Toronto International Film Festival (TIFF). The writer focused on the dialogues of the film, and then followed by analyzing the character through conscientiousness and neuroticism of personality. In this analysis, the writer finds out that final result about the protagonist character of Elliot Anderson. Elliot Anderson is a recently widower and visible wealthy grandfather. The writer found Conscientiousness of Elliot Anderson characteristic is ambitious and neuroticism Elliot is irritable or anger, complaining person, blaming person, selfish, and jealous. It’s all happened when on one particularly bad day, in which he loses his wife, he wishes people would recognize how hard he is trying and how good his heart is and just leaving him alone in his big house with its big swimming pool and his Mexican maid to raise his young granddaughter Eloise. Keyword: Black or White Film, Elliot Anderson, Protagonist Character
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.004 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".