Editorial: The 13th Annual International Religious Tourism & Pilgrimage Conference in Vilnius /
Bibliographic record
Abstract
The 13th Annual International Religious Tourism and Pilgrimage Conference was held in Vilnius from 29th June to 2nd July 2022. The conference was attended by the leading researchers in religious tourism and pilgrimage from around the world. Researchers from the United Kingdom, Canada, Israel, Ireland, Portugal, Poland, Latvia, Japan, the United States, Australia, Italy, Slovakia and other countries delivered speeches at the Conference in person. More speakers connected virtually. More than 40 participants from around the world took part in total and more than 30 papers were delivered during the conference. The aim of the conference was to present the latest research and personal insights of researchers on the changing nature of religion in society and to encourage the academic community to discuss how various new challenges affect the development of religious tourism and pilgrimage. Topics covered included the impact of COVID-19 on religious tourism and pilgrimages, the motives for pilgrimage, the holy places and routes of pilgrims, the relationship between religious tourism and cultural heritage, and the theoretical perspectives of religious tourism. Keynote speeches included the presentations of Archbishop of Vilnius, Metropolitan Gintaras Grušas, Vitor Ambrosio from Portugal and Jaeyeon Choe from the UK.
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 | 0.004 | 0.014 |
| Meta-epidemiology (narrow) | 0.004 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.011 | 0.013 |
| Insufficient payload (model declined to judge) | 0.025 | 0.016 |
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".