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Record W2810928498 · doi:10.1080/21504857.2018.1481121

An interview with comic book writer Jeff Parker

2018· article· en· W2810928498 on OpenAlexaff
Jeffery Klaehn

Bibliographic record

VenueJournal of Graphic Novels & Comics · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicComics and Graphic Narratives
Canadian institutionsEmmanuel Bible College
Fundersnot available
KeywordsComicsAdventureVisual artsArt historyArtPerformance artHollywoodAnimeWonderMedia studiesHistoryLiteratureSociologyPsychologyComputer science

Abstract

fetched live from OpenAlex

Jeff Parker began his comics career as an artist on issues of Wonder Woman and Malibu Comics’ Solitaire. As the industry receded in the ’90s, Jeff moved to Los Angeles and began working as a storyboard artist, first on the animated series The Big Guy and Rusty the Boy Robot and then live-action commercials and music videos. During this time, he launched his first graphic novel, The Interman, and returned to full-time comics work as a writer, notably on the Marvel Adventures line of books. The next decade was filled with big action books from Marvel such as The Hulk and Thunderbolts, and launching new series' Agents of Atlas and X-Men: First Class. Parker migrated to DC to bring Batman ’66 to monthly comics, while revamping Flash Gordon and the King Features heroes for Dynamite. He also spearheaded the crossover Future Quest, an event series featuring the classic action heroes of Hanna-Barbera. Among his original creations are the thriller Underground with Steve Lieber, the dark humour paranormal series Mysterius the Unfathomable with Tom Fowler, and Portland-centric hipster mystery Bucko with Erika Moen. This interview explores his work and career in comics to date.

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)0.002
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.025
Threshold uncertainty score0.057

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0190.005
Scholarly communication0.0080.006
Open science0.0010.003
Research integrity0.0050.009
Insufficient payload (model declined to judge)0.0170.004

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 head0.031
GPT teacher head0.250
Teacher spread0.219 · 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 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
Published2018
Admission routes1
Has abstractyes

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