Popular materials: late-Victorian illustrated magazines and the technological imagination
Bibliographic record
Abstract
How did the multimodal aesthetics of popular illustrated periodicals shape late-Victorian reader engagement? How did these terms of engagement relate to the role magazines played in emerging mass culture? My dissertation investigates these questions using evidence from four popular periodicals between 1885 and 1918: the Graphic, the Illustrated London News, Pearson’s Magazine, and the Strand. Readers possessed a print media literacy through which they could interpret the material traces of production that were part of a periodical’s aesthetics and situate a print object in its real and imagined socio-technological contexts, a capacity I describe as the technological imagination. Print media literacy also enabled readers to attend to how a physical print object mediated culture, which I describe as medial awareness. Combining close reading with historical contextualization and a media archaeological emphasis on materiality, I analyze aesthetic characteristics of these four illustrated magazines that influenced reader engagement by invoking readers’ technological imagination. At the turn of the century, the Illustrated London News and other popular illustrated magazines underwent what Gaudreault and Marion would call a “second birth,” repositioning themselves within the era’s new media milieu. The increasingly visual and multimodal aesthetics of these periodicals engaged readers’ technological imagination and drew their attention to mediation itself. Using de Certeau’s theory of strategy and tactic, I argue that periodical producers strategically invoked the technological imagination to acquire cultural authority, but readers could use their medial awareness to poach producer techniques, becoming critical and productive agents of mass culture. In news weeklies such as the Illustrated London News and the Graphic, advertisers encouraged readers to conflate reading and consumption, but readers could appropriate advertising strategies using curatorial and hyper-reading tactics. In monthlies such as Pearson’s, population journalism prompted readers to conceptualize themselves using a “biopolitical” rubric of normalization, in Foucault’s sense, but this genre’s spectacular strategies created space for readers to exert tactical agency. In “Curiosities,” a participatory feature in the Strand, readers used the technological imagination to appropriate multimodal magazine production and contribute to what Flichy terms the “socio-technical frame of reference” for the hand camera. As “Curiosities” demonstrates, late-Victorian illustrated periodicals influenced the terms of user engagement for twentieth- and twenty-first-century mass media.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.006 | 0.020 |
| Scholarly communication | 0.013 | 0.007 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".