Bibliographic record
Abstract
<i>Religion and Higher Education in Europe and North America </i>illuminates the experiences of staff and students in higher education as they negotiate the university environment. Religious extremism has been rising across Europe, whilst recent attacks have thrown public debate around the place of religion on campus, the role of universities in recognising and managing religious fundamentalism and freedom of speech on campus into sharper focus.<br/><br/>Despite these debates, research exploring religion on campus has been largely absent from discourse on higher education outside of America, with policy and practices designed to deal with religion on campus largely founded on supposition rather than evidence. This book speaks into that void, including results from recent studies in the field which form an empirically grounded base from a broad variety of perspectives on religion at universities. Aiming to offer a deeper perspective, more dialogue, and engagement on the experiences of students, <i>Religion and Higher Education in Europe and North America</i> presents us not only with an opportunity to counter growing trends of intolerance, but for people to connect with the humanity of others.<br/><br/>Focusing on what research reveals about staff and students’ experiences, it incorporates research from different academic disciplines including sociology, education, social policy, theology and religious studies, and across different faith and belief groups. This thought-provoking and challenging volume features chapters written by researchers involved in informing policy and practice relating to religion and belief in higher education in the UK, US, Canada, France and the Netherlands . Spanning the academic-practitioner divide, students and academics interested in the sociology of religion and of higher education, as well as those responsible for the practical management of campus life, will find this text of particular importance.
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 | 0.001 | 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 | 0.005 | 0.005 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| 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".