Bibliographic record
Abstract
Ecology and Sacred commemorates and advances anthropology of Roy A. (Skip) Rappaport. Rappaport was an original and visionary thinker whose writings, like these essays, encompass ecological theory and method; ritual, sacred, and cybernetics of holy; structural study of social maladaptation or the anthropology of trouble; and a policy-engaged anthropology that addresses social complexity and structural disorders in modern contexts. The contributors, who are leaders in anthropological studies of environment and of religion, address themes emerging from Rappaport's pioneering ethnography of Papua New Guinea through his engagement with contemporary social problems. In addition to presenting significant new ethnographic data and sharp critical perspectives, collection demonstrates essential holism of anthropology as represented by Rappaport's contributions and legacy.At a time when anthropology is fractured by debates over whether it is a science or a humanistic tradition, theoretical or applied, this festschrift testifies that a unified anthropology is both possible and necessary for understanding of humanity and global transformations. The volume will be of interest not only to anthropologists, but to geographers, sociologists, scholars in science-studies, historians, and experts and practitioners in religious studies, as well.Ellen Messer is Visiting Associate Professor, Tufts University. Michael Lambek is Professor of Anthropology, University of Toronto.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.016 |
| Scholarly communication | 0.004 | 0.006 |
| Open science | 0.001 | 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".