Bibliographic record
Abstract
A narcissist, as defined by the Merriam-Webster dictionary, is one who is "extremely self-centered with an exaggerated sense of self-importance".Nowadays, narcissism is often studied in regards to contemporary culture, social media, celebrities, and the younger generation.The culmination of these topics can be found in French-Canadian filmmaker and acclaimed "wunderkind" Xavier Dolan.In the twelve years since his directorial debut at the young age of nineteen, Dolan has gone on to direct eight feature films, four of which he has also starred in.Drawing on deeply personal and at times autobiographical themes, it may be difficult to separate Dolan's characters from Dolan the filmmaker.This may be why in multiple reviews and critiques of his films, primarily those he acts in, the concept of "narcissism" has been a recurring theme.I aim to offer a definition of narcissism and to classify the narcissistic character traits to look for in a study of the four Dolan films in which he acts.I will then analyze the alleged elements of narcissism in the underlying theme, the visual style, and the characteristics of the main characters in order to determine whether these films can rightfully be considered narcissistic or not.Lastly, the critical acclaim and success that Dolan has been faced with begs the question of whether narcissism is in opposition to universality or whether there is a factor of relatability associated with his films, regardless, or maybe because, of the claims of narcissism.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.008 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".