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Record W4231273097 · doi:10.1002/9781118978061.ead086

Social and Mobile Media in Art and Design Curricula

2019· other· en· W4231273097 on OpenAlexaff
Juan Carlos Castro

Bibliographic record

VenueThe International Encyclopedia of Art and Design Education · 2019
Typeother
Languageen
FieldArts and Humanities
TopicMuseums and Cultural Heritage
Canadian institutionsConcordia University
Fundersnot available
KeywordsAffordanceSocial mediaGeolocationCurriculumComputer scienceMultimediaKey (lock)Mobile deviceThe InternetWorld Wide WebInternet privacySociologyHuman–computer interactionPedagogyComputer security

Abstract

fetched live from OpenAlex

Social media is any interconnected internet application that enables users to create and share content without prior knowledge of software code. Mobile media expands the ubiquity of social media by enabling computing experiences that can happen anytime and anywhere. The uptake of social and mobile media by youth has prompted important changes in art and design education. This chapter outlines the relevant affordances and constraints of social and mobile media in art and design curricula by reviewing key concepts such as peer‐to‐peer sharing, individual and collaborative inquiry, geolocation and cartography, and ethical and legal computing practices. It provides insights into curricular applications and considerations.

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)0.003
metaresearch head score (Gemma)0.005
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: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.033
Threshold uncertainty score0.110

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0030.004
Scholarly communication0.0100.005
Open science0.0010.006
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0330.005

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 head0.030
GPT teacher head0.265
Teacher spread0.236 · 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
GenreReview

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

Citations1
Published2019
Admission routes1
Has abstractyes

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