“You see, but you do not observe”: Hidden Infrastructure and Labour in the Strand Magazine and Its Twenty-First-Century Digital Iterations
Bibliographic record
Abstract
The Strand Magazine (1891–1950), a key print culture object, was launched six months before its publisher, George Newnes, restructured his business as a limited liability company. The initial share offering was only open to people closely affiliated with Tit-Bits and the Strand: booksellers, newsagents, bookstall clerks, periodical staff, and advertisers. This article examines the community of investors who purchased shares in 1891, revealing some of the invisible and less visible individuals who were affiliated with Newnes’s stable of publications. Exploring the transformations in the firm’s corporate structure during the 1890s invites consideration of the corporate and finance models that are involved in today’s digital marketplace. Currently, digital incarnations of the Strand Magazine, in varying degrees of completeness and quality, are available through both open-access and commercial sources. The corporate and imaginative structures behind these emergent media are opaque. What technological infrastructure is involved in their production? How do corporate and legal systems influence their creation, distribution, and use? We illuminate the Strand’s history by drawing attention to the significance of some of the under-considered technological, business, legal, and financing structures involved in the creation of today’s digital objects.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".