MétaCan
Menu
Back to cohort
Record W7162659891 · doi:10.59236/emro.v24i7a7830

Coded

2022· article· W7162659891 on OpenAlexaboutno aff
Beth Carpenter

Bibliographic record

VenueEducational Media Reviews Online · 2022
Typearticle
Language
FieldEconomics, Econometrics and Finance
TopicCinema and Media Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPeriod (music)Representation (politics)QueerTheme (computing)ImprisonmentPerformance artRidiculous

Abstract

fetched live from OpenAlex

Distributed by Grasshopper Film, 12 East 32nd St., 4th Floor, New York, NY 10016Produced by Sara Bernstein, Kimberley Doebereiner, Conor Fetting-Smith, et al.Directed by Ryan White2021, Streaming, 28 mins Coded: The Hidden Love of J.C. Leyendecker is a documentary short film that details the impact of Leyendecker’s life and work on advertising, but also on representation of queer identities in public spaces. Using the voices of historians, a creative director and a trans model, this 29-minute documentary gives insight into a man who is responsible for many of the images we look back on today as representative of classic Americana; he was even a predecessor and mentor to Norman Rockwell. While this is a biographical film, it also offers a message for those of us watching in the present, and those who will watch it in the future – though the message may feel as though it is too late in coming. When Leyendecker came to the United States, it was on the heels of Oscar Wilde’s imprisonment for being gay. When Leyendecker dies, it is in the era of McCarthyism and a period of strictures on “other-ness.” Just as Leyendecker used his male lover as a model for arrow shirt collars, and used gay-coded imagery in his advertisements, so too did Subaru use a vanity license plate to signal to lesbians in the 1990s. Through Coded, we are reminded of the cyclical nature of the world, that if we do not learn from the past, then we are simply going to go around the same wheel once more. Above all, we are shown images of joy at representation, and reminded that people succeed when they can live their truth, and when they find themselves reflected in the world around them. It may feel as if Coded ends on too positive a note, and when this was released in 2021, we were not facing some of the challenges that exist in 2022. While this does not discredit the film, it does leave it as a place to start a discussion with a class, and to prompt the question, “What next?” Awards:Winner, Best Documentary Short, Tribeca Film Festival; Winner, Best Documentary Short Film, Calgary International Film Festival; Winner, Best Short Award, OUTshine Film Festival Fort Lauderdale; Winner, Alternative Spirit Award (Documentary) First Prize, Rhode Island International Film Festival

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.146
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0020.001
Scholarly communication0.0060.003
Open science0.0020.004
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.8540.709

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 head0.084
GPT teacher head0.305
Teacher spread0.222 · 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.

Study designNot applicable
Domainnot available
GenreOther

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
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueEducational Media Reviews OnlineSame topicCinema and Media StudiesFrench-language works237,207