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Record W4313462514 · doi:10.4324/9781003364191-8

Imagining Marshall McLuhan as a digital reader: an experiment in applied Joyce

2023· book-chapter· en· W4313462514 on OpenAlexaff
Alan Galey

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldSocial Sciences
TopicMedia, Communication, and Education
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsArtHistoryComputer science

Abstract

fetched live from OpenAlex

Was Marshall McLuhan's greatest work not his published writing but his reading? This article examines McLuhan's annotation practices in his copies of James Joyce's Ulysses and A Portrait of the Artist as a Young Man, and asks what kinds of evidence a prolific annotator like McLuhan might have left if he had done his reading digitally. The first half profiles McLuhan's annotation practices, illustrated by examples from books from McLuhan's personal library. The second half describes an informal experiment, in which the author tests McLuhan's annotation techniques against the capabilities of digital book platforms and formats, specifically PDF (using the Apple Preview app) and EPUB (using the Apple Books app). Overall, the article works through two questions that are relevant to book history, marginalia studies, and digital archiving. How will we understand the evidence left behind by readers when that evidence is in born-digital forms, as archived digital files? And what can we learn about digital reading and annotation from someone like McLuhan, who did those things exceptionally well in another medium? The conclusion reflects on prospects for the study of born-digital marginalia, and on the role of encyclopedism in understanding both McLuhan's and Joyce's media theory.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.685
Threshold uncertainty score1.000

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 communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.084
GPT teacher head0.358
Teacher spread0.274 · 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; both teacher heads agree on what is shown here.

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
Published2023
Admission routes1
Has abstractyes

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