Bibliographic record
Abstract
In the Great War of 1914-18 the town of Ieper (Ypres) was the centre of the horrific battles of Passchendaele, and today, it is a large centre for battlefield tourism. This study is part of a broader project to analyse some of the motivations and experiences of people who visit the battlefields and their various memorials and museums. The sample was selected from visitors attending the Information Centre located in the Cloth Hall in the town of Ieper. Most respondents had relatives involved in war, but only about one quarter were intending to visit a cemetery or wall of names to trace a soldier. Very few people classified themselves as pilgrims, and nearly half preferred to describe themselves as a tourist. The responses to qualitative and quantitative questions revealed that most visitors were motivated to visit the town by opportunities for education and historical interest about the war, and to show gratitude and honour those who had fought. Approximately one quarter of the sample were not touring the battlefields, reflecting the other attractions that the area holds.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.007 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".