MAPPING THE LEIGH FERMORS’ JOURNEY THROUGH THE DEEP MANI IN 1951
Bibliographic record
Abstract
In the summer of 2019, members of the CARTography Project set out to re-create the route that Patrick and Joan Leigh Fermor took during their first visit to the Deep Mani in 1951. The project involved meticulously analysing the couple's notebooks and photographs to glean details about where they had ventured, using least-cost analysis to model their potential routes and ground-truthing the results by walking and boating the routes ourselves. As in much of rural Greece, Mani's topography has changed substantially in the seven decades since the Leigh Fermors’ journey, with paved roads having replaced many of the Ottoman-era footpaths that locals once relied on for travel and transportation. While the transformed landscape we encountered prevented a complete re-enactment of the Leigh Fermors’ journey, it also offered an opportunity to embody key parts of their travelling experience. The results of our study are twofold: first, a detailed map of the route the Leigh Fermors followed based on our reading of their documentary sources; and second, an assessment of the utility of using least-cost analysis to model the routes of historical travellers.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".