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Record W6992034406

Jump Jump and the Ice Queen - Single Episodes

2011· other· en· W6992034406 on OpenAlexaboutno aff

Bibliographic record

VenueBulletin of Miscellaneous Information (Royal Gardens Kew) · 2011
Typeother
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicDermatological and Skeletal Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsJumpQueen (butterfly)AdventureCourtesyStudioSection (typography)
DOInot available

Abstract

fetched live from OpenAlex

JUMP JUMP AND THE ICE QUEEN Jump Jump, the 3-inch tall Elf was first conceived by the creative writing team of Mary McConnell and hubby Harry Hickox as an anchor character to introduce an initial series of some 65 vignettes of delightfully animated creature-based children's stories for year round, syndicated distribution through the Harry S. Goodman organization to radio stations across America. That initial syndication caught both the attention and entrepreneurial interest of Sampson R. Diamond, who sought to put a physical image and visual personality to the delightful 3-inch tall Elf. He contracted with the Hickox' syndicator, Harry S. Goodman to contract out the Hickox's for a 25-episode children's adventure anchored around the Christmas Holiday season. Thus was born the first image of Jump Jump and a fully fleshed out package of Jump Jump characters, dolls, merchandise displays and marketing materials to promote the new 25-episode serial as a Christmas adventure. This is similar to the highly successful Cinnamon Bear and Jonathan Thomas and His Christmas on the Moon adventure serials distributed almost ten years earlier. These Christmas adventure serials were rapidly becoming a recurring holiday tradition over radio stations across the U.S. and Canada. So it was that Jump Jump's serial length adventure, Jump-Jump and The Ice Queen , was born. Text courtesy of the Digitaldeli Two From the Old Time Radio Researchers Group. See "Notes" Section below for more information on the OTRR.

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 categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.049
Threshold uncertainty score0.999

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)0.0510.002

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.

Opus teacher head0.005
GPT teacher head0.170
Teacher spread0.165 · 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; both teacher heads agree on what is shown here.

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
Published2011
Admission routes1
Has abstractyes

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