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Record W2982590199 · doi:10.1177/1098048219877765

Keeping Up With Fast-Paced Industry Changes—Digital Media Education in U.S. Advertising and PR Programs

2019· article· en· W2982590199 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Advertising Education · 2019
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicManagement and Marketing Education
Canadian institutionsnot available
Fundersnot available
KeywordsAdvertisingCurriculumJournalismDigital mediaOnline advertisingAdvertising researchMass mediaQuarter (Canadian coin)Advertising campaignDigital televisionBusinessSociologyPolitical scienceEngineeringThe InternetComputer sciencePedagogyTelecommunications

Abstract

fetched live from OpenAlex

The continuing technological development of the advertising and public relations (PR) industry and increasing transfer of marketing expenditures from traditional channels to emerging digital media have placed a heavy burden on advertising and PR education. While it is not clear how educators are responding to the digital challenge, this study provides a complete picture of advertising and PR digital media education in the United States. Through a content analysis of curricula from 99 universities with advertising and PR programs, we found that nearly one-quarter (23.5%; n = 1,128) of advertising and PR major courses taught digital media and that digital media education placed greater emphasis on skills courses. Furthermore, the advertising and PR discipline was still based on mass communication, journalism, and marketing rather than computer-related fields. It is hoped that this article will shed some light on the digitalization of future advertising and PR education.

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)0.001
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.596
Threshold uncertainty score0.710

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.003
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 head0.007
GPT teacher head0.230
Teacher spread0.222 · 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