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Record W4320916177 · doi:10.31586/jad.2023.615

The Advertising Narrative for the Alpha Generation: The Role of YouTube Channels in the Dissemination of Toys and Electronic Games

2023· article· en· W4320916177 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Art and Design · 2023
Typearticle
Languageen
FieldComputer Science
TopicMedia and Digital Communication
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsNarrativeSemioticsPhenomenonSelection (genetic algorithm)AdvertisingPower (physics)MultimediaSociologyMedia studiesComputer scienceArtLiteratureEpistemologyBusinessArtificial intelligencePhysics

Abstract

fetched live from OpenAlex

This article seeks to relate the narrative strategies used by video channels on YouTube with the advertising of toys and electronic games intended for the Alpha generation. Based on the principle that we live in a society composed of different age groups, the main theoretical references that make it possible to understand generation as a local and global phenomenon will be exposed. After such concepts, the rise of the image and its importance for the new generations will be approached, to support the selection of the audiovisual platform YouTube and its growing fascination by the public. Finally, concepts from semiotics will be applied to verify the narrative and discursive power of video channels for contemporary children, also known as the Alpha generation.

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.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.763
Threshold uncertainty score0.142

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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)0.0000.000

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 head0.027
GPT teacher head0.280
Teacher spread0.254 · 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