Deconstruction of Peter Pan’s Character in Edward Kitsis’ and Adam Horowitz’s Once Upon a Time, Season Three (2013)
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
The purpose of this research is to find out the deconstruction of Peter Pan’s character in Kitsis’ and Horowitz’s work as described in Barrie’s Peter Pan. Kitsis’ and Horowitz’s Once Upon a Time, Season Three is the first film that deconstructs the character of Peter Pan from Barrie’s Peter Pan. The qualitative method is used in analyzing the main data that are taken from both works, Barrie’s Peter Pan and Kitsis’ and Horowitz’s Once Upon a Time, Season Three. The data analysis starts by selecting the data from re-watching and re-reading the works. Then analyzing them using the theory of deconstruction, character and characterization and cinematography. The theory is used to find the binary opposition and analyzing the characteristics of Peter Pan in both works. The cinematography is also needed to support the analysis and strengthens the argument of the analysis from the character’s deconstruction. The result of the analysis shows that the characteristic of Peter Pan in Barrie’s Peter Pan is deconstructed from hero into villain. It shows that there are four characteristics of Peter Pan as a hero that are deconstructed, namely, honest, fearless, polite and caring. Those characteristics are deconstructed into the character of Peter Pan as a villain who is manipulative, fearful, impolite and selfish. The four characteristics that are deconstructed can be seen from Peter Pan’s action towards other characters, from other characters’ explanation or the character’s emotions through every relevant scene in the film.
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.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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