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Record W4365446186 · doi:10.7202/1097608ar

Probe: The Message(s) are now the Media: A 2030 Outlook on McLuhan

2023· article· en· W4365446186 on OpenAlexaff
Frédéric Guarino

Bibliographic record

VenueNew Explorations · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicMedia, Communication, and Education
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsFocus (optics)OligopolyDigital eraMedia ecologyElectronic mediaMedia studiesSociologyTelecommunicationsComputer scienceLaw and economicsPolitical scienceLawWorld Wide WebThe InternetPhysics

Abstract

fetched live from OpenAlex

Marshall McLuhan’s seminal “the medium is the message” one-liner, title to Chapter 1 of his 1964 book Understanding Media is a formidable sum up of mid 20th Century media analysis. With a remarkable economy of semantics, McLuhan posited that the powers inherent to radio and television were so immense that the technology itself needed to be the focus. McLuhan’s insight is worth revisiting with an updated frame of reference towards 2030, given our current fragmented media landscape. Finite analog broadcast networks who wielded immense powers have now been replaced by an abundant digital emporium, itself ruled by oligopolistic technology platforms.

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)0.004
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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.017
Threshold uncertainty score0.073

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0080.020
Scholarly communication0.0140.025
Open science0.0010.006
Research integrity0.0070.007
Insufficient payload (model declined to judge)0.0150.004

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 head0.155
GPT teacher head0.370
Teacher spread0.215 · 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 designTheoretical or conceptual
Domainnot available
GenreEmpirical

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
Published2023
Admission routes1
Has abstractyes

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