Making and growing anthropological studies of organisms and artefacts
Bibliographic record
Abstract
Contents: Preface Making and growing: an introduction, Tim Ingold and Elizabeth Hallam Silk production: moths, mulberry and metamorphosis, Jacqueline Field Between nature and art: casting from life in sixteenth-century Europe, Pamela H. Smith Anatomopoeia, Elizabeth Hallam Artefacts and bodies among Kuna people from PanamA!, Paolo Fortis Designing body-pots in the formative La Candelaria culture, Northwest Argentina, Benjamin Alberti Stitching lives: a family history of making caribou skin clothing in the Canadian Arctic, Nancy Wachowich Gardening and wellbeing: a view from the ground, Anne Jepson Making plants and growing baskets, Stephanie Bunn Skill and aging: perspectives from three generations of English woodworkers, Trevor H.J. Marchand Movement in making: an apprenticeship with glass and fire, Frances Liardet Growing granite: the recombinant geologies of sludge, David A. Paton and Caitlin DeSilvey. 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.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.024 | 0.003 |
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".