Looking forward via historic travel and looking back via heritage tourism: an analysis of roads, mobility and imagination of place along the Tōkaidō Road in Edo Period, Japan
Bibliographic record
Abstract
The Tōkaidō Road was the legendary highway constructed during the Edo period (1603–1868) in Japan connecting Edo, the home of the shogun, to Kyoto, the home of the emperor. Along the route were 53 post-stations (shuku) or towns catering to all manner of travellers from the daimyō (lords) and their great processions to pilgrims and later, lay travellers. Publication of period guidebooks, fictional journeys and the woodblock prints of artists like Hiroshige inspired increasing numbers of travellers who looked forward to adventures along the Tōkaidō Road. The heritage of the Tōkaidō Road today remains in the forms of signposts, markers, check points and preserved Edo towns visited by contemporary tourists. This paper examines historical travel along the Tōkaidō through Edo-era literature and art in the context of roads, mobility and imageries of place. Site visits to the preserved post-station of Seki and the reconstructed checkpoint at Hakone explore contemporary heritage tourism offering a nostalgic look back in time to Edo, Japan. Looking forward from the past through historic travel and looking back from the present via heritage tourism reveals the timelessness and popularity of the Tōkaidō Road.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".