Bibliographic record
Abstract
The prospect of railway travel seemed to bring out the most patronizing of advisories for women travellers. One 1868 guide recommended that ‘[f]or Ladies, travelling alone […] the information they require for the journey be […] filled in for their guidance’ by a male relative in advance,1 while another affirmed that women had difficulty living up to the informational and temporal expectations of scheduled travel, such that ‘we have never yet met with a lady who did not regard [the timetable] as a literary puzzle’, and that women ‘do not enter into the spirit of the straight-laced punctuality observed by the railway authorities, and if the time-table sets down the departure at 1.20, they instinctively read 1.45’.2 These and like comments might suggest that women were infrequent, unpractised, and incompetent travellers during the early decades of the passenger railways, but as Anna Despotopoulou’s Women and the Railway, 1850–1915 demonstrates, both literary and journalistic accounts from the period tell a different story. Indeed, many Victorian women ventured into the station and the carriage, and for them, she argues, the railway offered the possibility of something less strait–laced than the corsets and boots into which they were otherwise confined. Railway travel could lend a taste of the freedoms – geographical, sexual, intellectual – typically enjoyed by men, as well as some of the dangers that came with them. More generally, Despotopoulou’s work highlights the ways in which foundational critical and historical scholarship on nineteenth-century railways, such as work by Wolfgang Schivelbusch, Matthew Beaumont, Michael Freeman, and others, has often accepted the implicit assumption that passengers were male. Arguments about control, agency, and technology necessarily take a different shape when the traveller is a woman, and Despotopoulou’s gendered analysis is, as she puts it, ‘sceptic[al] of the unproblematic equation between mobility and agency’ (p. 7). To more recent critical conversations about the significance of railway travel for nineteenth-century literature and art, such as Alison Byerly’s work on the experiential elements of Victorian transportation and Jonathan Grossman’s study of its ramifications for literary plot and form, Despotopoulou’s volume makes a worthwhile and wholly readable contribution.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.010 | 0.004 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.034 | 0.003 |
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".