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Record W2887597426

McLuhan and Symbolist Communication : The Shock of Dislocation

2017· book· en· W2887597426 on OpenAlexaboutno aff
Andrea Lombardinilo

Bibliographic record

Venuenot available
Typebook
Languageen
FieldSocial Sciences
TopicMedia, Communication, and Education
Canadian institutionsnot available
Fundersnot available
KeywordsSociologyPoetryIrrational numberIntellectEpistemologyLiteratureAestheticsPhilosophyArt
DOInot available

Abstract

fetched live from OpenAlex

Symbolism as a ʽparataxisʼ, as a ʽjazz of the intellectʼ. This is the starting point of this research, inspired by a socio-literary interpretation of McLuhan’s mediology and developed from a diachronic and exegetic perspective. According to the Canadian sociologist, the footsteps that led to the electric era can be traced through the study of certain writers and poets, whose symbolism provides a number of sociological hints foreshadowing our media modernity. This work aims at investigating the role of symbolism in McLuhan’s sociological research, by outlining how the study of memory and the analysis of literary tradition are fundamental to understand the complex development of communication and cultural studies. This research focuses on the function of symbols as interpretative keys forthe study of media carried out by McLuhan. It is exactly in this artistic movement that the sociologist finds the opportunity to analyze the representative practices (irrational and linear) of modern men, shaped by the reticular patterns of the mind. From this perspective, McLuhan identifies the creative process that lies at the root of symbolist poetry, indentified as ʽa disposition, a parataxis, of components that draws a particular intuition through precise links, but without a point of view, that is a linear connection or sequential orderʼ.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.795
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
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 head0.050
GPT teacher head0.351
Teacher spread0.301 · 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.

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
Published2017
Admission routes1
Has abstractyes

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