Iron Man : entre confusion identitaire et addiction à la technologie
Bibliographic record
Abstract
The fascination surrounding a successful artwork is linked to the fact it faces the viewer to unknown aspects of his/her own psychic life. The same applies to the comics Iron Man. Behind the armour is hiding a man caught up in the traumatic incidences of life. The hero demonstrates a psychic weakness which, despite being deep, is, however, showing universal aspects.The analysis of his misfortunes reveals a narcissistic disorder. The article intends to set out the identity confusion the Marvel's protagonist is trapped in while highlighting the addictive troublesome linking him to his high-tech armour. This article also seeks to attest the fact the symbiosis between Tony Stark and Iron Man is anticipating the evolution of our behaviour with regard to new technologies.To this end, the authors are recalling the episodes of the series. Through the analysis of the confrontational dialogue the hero is maintaining with his iron armour, they explore how the internal experiment related to the sense of identity disorder is figured out. Thus, going through the key moments of the saga, the authors raise the ambiguity of his hero. The metapsychological analysis of the actions undertaken by Iron Man reflects a little-known facet of his personality, revealing a character more tormented than he really looks. However, the point is not to "treat" a fictional man, but to observe how he can help us to understand the internal behaviour of our patients, and also our own.The Faustian drama this comic leads to is hence understood as a living testimony of our own psychic conflicts. Furthermore, the analysis gives rise to a questioning as to the risk of identity confusion the technological progress can create at a time when the Human is more and more depending on the machines he creates himself.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".