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Record W4401913433 · doi:10.17234/9789533791982.01

Is McLuhan Still Relevant For Information and Communication Sciences? Some Reflections on the Topic

2024· book-chapter· en· W4401913433 on OpenAlexaboutno aff
Michael George

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldComputer Science
TopicDigital Communication and Language
Canadian institutionsnot available
Fundersnot available
KeywordsData scienceComputer scienceWorld Wide WebSociology

Abstract

fetched live from OpenAlex

Marshall McLuhan (1911 − 1980) was a Canadian philosopher known primarily for his work in Media Theory. Famous for such phrases as “the media is the message” and later “the media is the massage” his background was in the history of the verbal arts, the trivium (traditionally consisting of grammar, rhetoric, and logic, although in his post-humous work Laws of Media, they are listed as grammar, rhetoric, and dialectics, probably reflecting how his thought on electronic communication technologies had changed his thinking). My basic contention is that McLuhan recognized the significance of historical patterns in language and communication and used this understanding as a means of interpreting the significance of the onset of electronic media. Among his many ideas that continue to be relevant was his recognition of how media shape the user albeit in ways that escape the awareness of said user. I suggest that McLuhan’s questions and historical sensibility are still pertinent and topical for those attempting to understand communication, information, and their social and psychic affects. In presenting his famous tetrad of questions, consciously modelling his work after the much earlier work of Francis Bacon and Giambattista Vico and intending to move to a “New Science”, he intended his questions to be readily applied by anyone to any technology in any situation, as follows: 1) What is enhanced or intensified?; 2) What is rendered obsolete or displaced?; 3) What is retrieved that was previously obsolesced?; and 4) What is produced or does it become when it is pressed to an extreme?. I believe that McLuhan’s work and questions still provide useful ways of beginning to understand the nature of consciousness and the significance of self-awareness as we attempt to work out who we are, what we do, and what it means.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.701
Threshold uncertainty score0.793

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 communication0.0010.001
Open science0.0010.000
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 head0.079
GPT teacher head0.325
Teacher spread0.245 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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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Same topicDigital Communication and LanguageFrench-language works237,207