Teaching Truth in Third Space': The Use of History as a Pedagogical Instrument at Temple Square in Salt Lake City, Utah
Bibliographic record
Abstract
While there has been increasing academic interest in the intersections between religion and tourism and the management of religious heritage sites, there has been little written on how these sites are interpreted to visitors and the religious doctrines or worldviews that frame the interpretational content and methods at these sites. Using the case study of Temple Square in Salt Lake City, Utah, this paper examines the ways in which religious heritage sites are used by ‘religions of salvation’ (Riesebrodt 2010: 66), specifically The Church of Jesus Christ of Latter-day Saints, to further their salvation-oriented goals. Not only is the ‘core business’ of religious sites more than just the creation of a ‘sense of place’ (Shackley 2001a, 2001b, 2002), but also involves an emphasis on both the maintenance and shifting of religious identities depending on the religious background of the visitor, making religious heritage sites a type of Third Space (Bhabha 1994; Soja 1996).
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.017 | 0.013 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.007 |
| 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".