Bibliographic record
Abstract
본 연구는 프랑스계 캐나다인 영화감독 자비에 돌란의 영화 (2012)의 주인공 로렌스의 젠더 정체성을 살펴보고 내적 의미를 분석하고자 하였다. 생물학적으로 남성으로 태어났지만 여성으로 살고자 하는 로렌스의 외적 변화를 패션 이미지로 살펴보았고 이를 주디스 버틀러의 젠더 정체성 이론인 모방, 행위의 반복, 그리고 합체의 개념으로 살펴볼 수 있었으며, 그에 따른 내적 의미로 '타자의 내면화'와 '탈정체화'를 파악하였다. 로렌스는 여성성의 획득을 위해 여성의 모습을 모방하고 반복적인 행위로 그(녀)의 외적 구성을 완성해간다. 그(녀)의 반복되는 모방적 행위는 타자를 내면화하는 과정으로 해석되고 새로이 구성되어지는 주체를 시각화하는 것으로 해석할 수 있다. 탈정체화는 젠더가 시공간의 차이에 따라 다르게 구성되고 형성된 외형은 곧 내면의 외면화의 개념으로 해석되며 정체하지 않는 젠더의 유동적인 가변성을 의미화 한다. 로렌스의 '여성으로 가꾸기'는 외모를 흉내 내는 것 이상으로 재의미화 된 여성 또는 젠더를 만들고 있으며, 그것이 진정한 자기 변화이자 새로운 세상에 대한 도약으로 해석된다. 【This research aims to analyse gender identity and its internal meanings through the main character, Laurence, of the movie (2012) directed by French-Canadian film maker Xavier Dolan. Study examines performative gender identity revealed through the fashion images of Laurence who was born biologically as a man; depending on a theory of Judith Butler who represented a parody, repeatability action, and incorporation as an effect of gender identity. Also 'Internalization of others' and 'Dis-identification' are presented as an internal meanings of Laurence's gender identity which appeared on his(her) fashion images. Laurence parodies woman's fashion styles in repetition to obtain feminity as his(her) appearance. His(her) repetitive actions are construing an internalizing others(women) and visualizing a new-self to become a stylized doer. Dis-identification signifies that gender can be reconstructed regarding the differences of the place and the time and reconstructed outside can be analyzed as externalization of internalization. 'Becoming a woman' means more than what it sounds like to Laurence. It means a new signification of being a woman or redefining gender identity. That is something can be called a genuine transformation and a grant leap for Laurence.】
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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 | 0.006 | 0.006 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.014 | 0.002 |
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".