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Record W3190547996 · doi:10.21608/ijdfs.2021.187015

Visual identity in costume design of the cinematic Queen's character

2021· article· en· W3190547996 on OpenAlexaboutno aff
Marwa Muhammad Salih Odeh

Bibliographic record

VenueInternational Journal of Design and Fashion Studies · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicFashion and Cultural Textiles
Canadian institutionsnot available
Fundersnot available
KeywordsCharacter (mathematics)Queen (butterfly)Identity (music)ArtCostume designVisual artsCommunicationAestheticsPsychologyMathematicsZoology

Abstract

fetched live from OpenAlex

The research revolves around the role of the costume designer for cinematic films in achieving visual illusion in the design of costumes for the characters that playA major role in a film that takes place in the distant or near future, by designing a visual identity that serves as a historical referenceTo limit the previous civilizations of a people, and to find a balance between the design mechanism represented in the structural lines of the costume and theTechnical work requirements, where the research talks about the designer's ability to technically and technically treat the surface of the material in an innovative wayThe perceptual characteristics of the material are among the important and influential features in the degree of compatibility of the elements of the artwork, especially when they are in agreement withThe content and idea of ​​the work.The research reviews the fashion design of three royal characters in three different styles of films presented, the sample of the research, the personalThe first is the character of the Queen Mother of Canada from the movie Panther Black, which won the Oscar for BestFashion design and how to treat the African identity of the Queen's costume and the reflection of the design on the future civilization of this African countryWhich has the best advanced technology in the world.The second character is Queen (Padem) in the costume of the Kingdom of the Elders from the movie Star Wars, which is inspired by the costumes of the Queen, his wife (Genghis).Khan (the Emperor of the Mughals, and in which the research reviews how to draw inspiration from the historical identity of the Mughal civilization in designing a royal costume inouter space in the distant future.The third character is Queen Ravenna from the movie Snow White and the Hunter, and the extent to which the psychological state of the character is reflected on the designThe costume as well as the design process and the surface treatment of the costume in an innovative and unconventional way, in which the designer expresses his complex queen psychology.and fragile.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.006
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0020.003
Scholarly communication0.0060.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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.

Opus teacher head0.081
GPT teacher head0.332
Teacher spread0.251 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2021
Admission routes1
Has abstractyes

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