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Record W650374425

Renaissance for a wired world

2005· book· en· W650374425 on OpenAlexaboutno aff
Gary Genosko

Bibliographic record

VenueRoutledge eBooks · 2005
Typebook
Languageen
FieldSocial Sciences
TopicMedia, Communication, and Education
Canadian institutionsnot available
Fundersnot available
KeywordsThe RenaissanceUncannyKey (lock)Section (typography)Art historyHistoryCritical editionClassicsArtLiteratureComputer science
DOInot available

Abstract

fetched live from OpenAlex

This collection contains key critical essays and assessments of the writings of Canadian communications thinker Marshall McLuhan selected from the voluminous output of the past forty years. McLuhan's famous aphorisms and uncanny ability to sense megatrends are once again in circulation across and beyond the disciplines. Since his untimely death in 1980, McLuhan's ideas have been rediscovered and redeployed with urgency in the age of information and cybernation. Together the three volumes organise and present some forty years of indispensable critical works for readers and researchers of the McLuhan legacy. The set includes critical introductions to each section by the editor. Forthcoming titles in this series include Walter Benjamin (0-415-32533-1) December 2004, 3 vols, Theodor Adorno (0-415-30464-4) April 2005, 4 vols and Jean-Francois Lyotard (0-415-33819-0) 2005, 3 vols.

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)0.002
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: Other · Consensus signal: Other
Teacher disagreement score0.047
Threshold uncertainty score0.157

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.007
Scholarly communication0.0090.011
Open science0.0010.004
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0470.014

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 head0.072
GPT teacher head0.357
Teacher spread0.285 · 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
Published2005
Admission routes1
Has abstractyes

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