Bibliographic record
Abstract
McLuhan's Global Village Today: An Introduction - Carmen Birkle, Angela Krewani and Martin Kuester Part I: McLuhan and Media Theory 1 In-Corporating the Global Village - Richard Cavell 2 Metaphorical Effects: McLuhan's Media - Jana Mangold 3 Hot/Cool vs Technological/Symbolic: McLuhan and Kittler - Andreas Beinsteiner 4 Global Immediacy - Florian Sprenger 5 The Complementary Aspects of Marshall McLuhan and Postmodernism in the Literary Study of the Internet: Exemplified in the Rhizome Theory of Gilles Deleuze and Felix Guattari - Martin Speer 6 Dubjection: A Node (Reflections on Web-Conferencing, McLuhan and Intellectual Property) - Mark A McCutcheon Part II: McLuhan and Literature 7 Herbert Marshall McLuhan: Before The Mechanical Bride - David Staines 8 'Cambridge was a Shock': Comparing Media from a Literary Critic's Point of View - Bernhard J Dotzler 9 Master, Collaborator and Troll: Marshall McLuhan, Wilfred Watson and Brian Fawcett - Martin Kuester 10 Taking Action: What Comics Demand of Their Recipients - Anne Hoyer Part III: McLuhan and Technical Media 11 Radio Voices: Reflections on McLuhan's Tribal Drum - Kerstin Schmidt 12 McLuhan's Paradigms and Schafer's 'Soundscape': Parallels, Influences, Envelopes, Shifts - Sabine Breitsameter 13 Literary Modernists, Canadian Moviegoers, and the New Yorker Lobby: Reframing McLuhan in Annie Hall - Paul Tiessen 14 The Animated Medium is the Animated Message (?): Reading Animated Moving Pictures with Marshall McLuhan - Philipp Blum 15 Marshall McLuhan and the Emergence of American Television Theory - Angela Krewani 16 'The Medium in Your Pocket' - A McLuhanian Approach to New Media - Raphael Peter
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.017 | 0.016 |
| Scholarly communication | 0.012 | 0.013 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.005 | 0.006 |
| Insufficient payload (model declined to judge) | 0.018 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".