The Spirit of Food: Thirty-Four Writers on Feasting and Fasting Toward God
Bibliographic record
Abstract
You are invited to a feast for the senses and the spirit! Thirty-four adventurous writers open their kitchens, their recipe files, and their hearts to illustrate the many unexpected ways that food draws us closer to God, to community, and to creation. All bring a keen eye and palate to the larger questions of the role of food--both its presence and its absence--in the life of our bodies and spirits. Their essays take us to a Canadian wheat farm, a backyard tomato garden in Cincinnati, an organic farm in Maine; into a kosher kitchen, a line of Hurricane Katrina survivors as they wait to be fed, a church basement for a thirty-hour fast; inside the translucent layers of an onion that transport us to a meditation on heaven, to a church potluck, and to many other places and ways we can experience sacramental eating. In a time of great interest and equal confusion over the place of food in our lives, this rich collection, which includes personal recipes, will delight the senses, feed the spirit, enlarge our understanding, and deepen our ability to "eat and drink to the glory of God."
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.007 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".