Die erediens as fees of die fees as erediens?: �n Andrew Murray pryswenner �n kwarteeu later herlees
Bibliographic record
Abstract
Worship as feast or feast as worship? Re-reading an Andrew Murray prizewinner one quarter of a century later. The aim of this contribution is to bring the book Die erediens as fees into discussion with the surrounding culture almost one quarter of a century after its publication. The surrounding culture, we shall call, following Martin Stringer and his so-called discourse of globalisation and consumerism, �the feast as worship service�. Based on this discussion, our research question pertains to the value of Die erediens as fees for the field of Liturgical Studies today. An answer is attempted by, firstly, sketching the liturgical landscape as well as national and international liturgical-scientific developments in our day and, secondly, providing a liturgical-aesthetical exploration and positioning Die erediens as fees within these developments and exploration.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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; a candidate call from one teacher head, 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".