Immersed in Illusion, Haunted by History: Marisa Carnesky’s Ghost Train
Bibliographic record
Abstract
[Summary of the book containing this chapter]: Despite the much vaunted ‘end of religion’ and the growth of secularism, people are engaging like never before in their own ‘spiritualities of life’. Across the West, paranormal belief is on the rise. The Ashgate Research Companion to Paranormal Cultures brings together the work of international scholars across the social sciences and humanities to question how and why people are seeking meaning in the realm of the paranormal, a heretofore subjugated knowledge. \n \nWith contributions from the UK and other European countries, the USA, Australia and Canada, this ground-breaking book attends to the paranormal as a position from which to critique dominant forms of knowledge production and spirituality. \n \nA rich exploration of everyday life practices, textual engagements and discourses relating to the paranormal, as well as the mediation, technology and art of paranormal activity, this book explores themes such as subcultures and mainstreaming, as well as epistemological, methodological, and phenomenological questions, and the role of the paranormal in social change. \n \nThe Ashgate Research Companion to Paranormal Cultures constitutes an essential resource for those interested in the academic study of cultural engagements with paranormality; it will appeal to scholars of cultural and media studies, popular culture, sociology, cultural geography, literature, film and music.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.000 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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; both teacher heads agree on what is shown here.
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".