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Record W4200341335 · doi:10.32920/ifmj.v1i2.1500

Inês de Castro on Youtube

2021· article· en· W4200341335 on OpenAlexaffvenue
Aida Jordão

Bibliographic record

VenueInteractive Film and Media Journal · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicCultural, Media, and Literary Studies
Canadian institutionsYork University
Fundersnot available
KeywordsComicsPoetryBeautyArtInnocenceRepresentation (politics)LiteratureNarrativeThe ImaginaryPoliticsQueen (butterfly)PortugueseArt historyHistoryAestheticsPhilosophyLaw

Abstract

fetched live from OpenAlex

Since the fourteenth century, when Inês de Castro was laid to rest in her magnificent tomb in the Monastery of Alcobaça, artists have told the tragic story of the Galician noblewoman who was assassinated for political reasons and became Queen of Portugal after her death. Inês embodies beauty, love, innocence, and saudade, and figures prominently in the lusophone cultural imaginary. Plays, novels, poetry and feature films offer representations of the Dead Queen that range from tragic and defiant to sentimental and trite. In new media, the moving im- ages that currently vie with iconic figurations of the legendary colo de garça are YouTube videos about the love of Inês and Pedro. Responding to homework assignments in Portuguese history or literature courses, primary and secondary school students engage with the love story and create new narratives – plays, animation, and videos – that attract thousands of viewers. In this paper, I consider a selection of YouTube videos made by Portuguese and Brazilian students that tell the familiar love story in a unique way, taking varying degrees of poetic license with their sources, the medieval period and the medieval woman. Some are original and irreverent while others simply glorify dead poets. Through a feminist lens, I analyze the mediated embodiment of Inês de Castro and interrogate the inflexible and hierarchical binary dualisms of man/woman, masculine/feminine, and public/private to posit a fluid conception of historical adaptation and the gendered representation of iconic figures. Image Credit: Still of Encenação D. Pedro e D. Inês

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.735
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.029
GPT teacher head0.243
Teacher spread0.214 · 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 teacher head, not a consensus.

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 routes2
Has abstractyes

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