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Record W6996945212

Tallulah Tulip: A Reimagined Look at Children’s Media Practices

2024· other· en· W6996945212 on OpenAlexaboutno aff

Bibliographic record

VenueCU Scholar (University of Colorado Boulder) · 2024
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
FundersUniversity of Colorado Boulder
KeywordsBroadcasting (networking)Set (abstract data type)Point (geometry)Best practiceMass media
DOInot available

Abstract

fetched live from OpenAlex

The show The Quests and Quacks of Tallulah the Duck and the comprehensive set of media and literary research that support it, are a cross-disciplinary approach to creating a project that extends beyond the classroom in teaching essential development and research skills in the Media Production industry. The project is a mock developmental stage for a new potential limited series of children’s programming to be aired through the Canadian Broadcasting Company in Canada. The thesis includes the development of a pitch for the show, including character and design model sheets, episode descriptions, and research to back the social-emotional learning purpose of the limited series and its projected impact. I am building a children’s media programming informed largely by research and critical theory about children’s media, and pitching the creative elements of my project through the research I have conducted and developed through the point of view of critical practice and theory. In an article published by the Journal of Pediatric Health Care “Screen media overuse is associated with poor sleep quality, shorter sleep duration, greater likelihood for overweight/obesity, lower executive functioning, poorer academic performance, and increased internalizing and externalizing problems.” (Liu). There are many shows currently on the market that are highly commercial and over-stimulating, as I will showcase later in the thesis, and do not have a focus on social-emotional learning in the development stage. Shows have also moved towards shows utilizing CGI and other computer-generated animation styles, whereas my show brings in a hand-drawn 2-D animation style. This creative pitching of a show was made with the intention of helping kids move through difficult topics as well as encouraging a collaborative viewing environment for guardians and their children to discuss the topics while watching with their kids. I will defend this media as a positive form of research-based educational entertainment.

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)0.002
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: Other
Teacher disagreement score0.127
Threshold uncertainty score0.426

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0060.002
Scholarly communication0.0070.005
Open science0.0010.004
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.1270.019

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 head0.018
GPT teacher head0.246
Teacher spread0.228 · 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
Published2024
Admission routes1
Has abstractyes

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