Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Notes on contributors Preface Introduction: Culture, consumption and society Andrew Sherratt, University of Oxford 1. Alcohol and its alternatives: symbol and substance in pre-industrial cultures Andrew Sherratt 2. Coca, beer, cigars and yag'e: meals and anti-meals in an Amerindinian community Stephen Hugh-Jones, University of Cambridge 3. Nicotian Dreams: the prehistory and early history of tobacco in eastern North America Alexander von Gernet, University of Toronto 4. Efficacy and concentration: analogies in betel use among the Fuyage (Papua New Guinea) Eric Hirsch, Brunel University 5. Kola nuts: the 'coffee' of the central Sudan Paul E. Lovejoy, York University, Canada 6. EXCITANTIA: Or, how enlightenment Europe took to soft drugs Jordan Goodman, University of Manchester Institute of Science and Technology 7. From coffeehouse to parlour: the consumption of coffee, tea and sugar in northwestern Europe in the seventeenth and eighteenth centuries Woodruf D. Smith, University of Texas at San Antonio 8. Tobacco use and tobacco taxation: a battle of interests in early modern Europe Jacob M. Price, University of Michigan 9. Japan and the world narcotics traffic Kathryn Meyer, Lafayette College, Pennsylvania 10. The rise and fall and rise and fall of cocaine in the United States David T. Courtwright, University of North Florida Afterword Jordan Goodman and Paul E. Lovejoy Selected bibliography Index
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.
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) | 0.005 | 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 it