Serializing the Past in and out of the Leisure Hour: Historical Culture and the Negotiation of Media Boundaries1
Bibliographic record
Abstract
This article explores the media transfer between books and periodicals by example of historical narratives serialized within the Religious Tract Society’s family magazineLeisure Hour(1852-1905). A look at the travelling of texts and ideas between these two media shows that the RTS not only negotiated media boundaries but operated at the intersection of other categories, such as class and gender, linked to the reputation of the different media as well as modes of representation and approaches to history. In a combination of book history and periodical studies under a historical culture perspective, the article focuses on three case studies: (1) the transition from book into periodical serial and the (re)appropriation of history for a working-class audience; (2) the collection of a periodical series into book form and the author’s boundary-work under the regulation of the RTS; (3) the transfer of material features in the creation of monthly parts and shift in historical genre.
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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 | 0.005 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.011 | 0.028 |
| Scholarly communication | 0.014 | 0.009 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".