Bibliographic record
Abstract
This essay analyses the Brontë sisters’ shared writing and walking practices in the Haworth parsonage dining-room in order to explore how communal indoor walking may have influenced the composition and content of the novels that were written there: Wuthering Heights, Agnes Grey, The Professor, Jane Eyre, The Tenant of Wildfell Hall, Shirley, and Villette. Employing the materialist theories of Thomas Rickert, Robert Douglas-Fairhurst, and Karen Barad, the essay explores how the complex web of the sisters’ everyday lived experiences could constitute literary influence. While indoor walking provides only one of many possible routes for such a materialist analysis of influence, the Brontës’ daily evening walks of approximately two hours in length are well documented and can act as a focal point for an investigation of how such experiences intersect with the novels’ composition. Scenes of indoor walking in the Brontë novels foreground affective connections between a subject moved to walk by an intense emotional state and an observer who witnesses and interprets the walk and who may act in response. Communal indoor walking in the novels thus provides a model through which to read materialist influence as, in Barad’s terms, ‘intra-active’ and ‘entangled’.
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 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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.025 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".