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McLuhan, Marshall (1911–1980)

2021· other· en· W4320159251 on OpenAlexaffabout
Michael J. MacDonald

Bibliographic record

VenueThe Blackwell Encyclopedia of Sociology · 2021
Typeother
Languageen
FieldArts and Humanities
TopicCybernetics and Technology in Society
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsSocial mediaField (mathematics)SociologyMeaning (existential)Media ecologyMedia studiesBiographyPrincipal (computer security)EpistemologySocial scienceHistoryLawArt historyPolitical scienceComputer sciencePhilosophy

Abstract

fetched live from OpenAlex

Abstract This entry provides an overview of the life and major scholarly contributions of Marshall McLuhan, the Canadian professor of English literature whose analysis of media technologies and their effects on psychic and social life pioneered the field of media studies and anticipated many features of the information society. After sketching out McLuhan's biography, the entry traces the evolution of McLuhan's sociology of media from his dissertation to his landmark Understanding Media , devoting special attention to his methodological approach to media history and analysis and his principal theoretical insights into the shaping effects of media technologies on social processes and structures. Along the way, the entry clarifies the meaning of many of McLuhan's most difficult ideas and aphorisms (including “the medium is the message” and “the medium is the massage”) and shows how his work remains a vital resource for students and scholars seeking to understand the current global media ecosystem.

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)0.001
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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.093
Threshold uncertainty score0.185

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.005
Science and technology studies0.0040.004
Scholarly communication0.0040.005
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0330.010

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 head0.018
GPT teacher head0.232
Teacher spread0.214 · 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
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
Published2021
Admission routes2
Has abstractyes

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