World Modelling: Paradigms of Global Consciousness in and around Virginia Woolf
Bibliographic record
Abstract
How can we theorise global consciousness in a writer who does not write extensively and explicitly about travel, geography and crosscultural encounters? Although Virginia Woolf produced a not insignificant body of travel writing, and although we are accumulating increasing evidence of her connections with people from other parts of the world, we still do not imagine her back-packing it through the globe, meeting and mingling with its peoples, becoming, in the words of Pico Iyer, a 'global soul'. Numerous aspects of her gendered, and classed and medicalised body made that scenario unlikely for her life. Possibly as a result, while her novels are permeated with global movement — with departures (Jacob to Greece, Orlando to Turkey, Rhoda to Spain) and returns (Peter Walsh from India, North Pargiter from Africa) — literal global interactions rarely appear.1 We must turn to her figurative imaginings of geography, peoples and global exchange.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.025 |
| Scholarly communication | 0.012 | 0.007 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| 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".