Bibliographic record
Abstract
Reordering the Natural World is a fascinating account of the many and varied ways in which animals and humans interact in the urban context.In looking at these interactions, Annabelle Sabloff argues that the everyday practices of contemporary capitalist society contribute to our alienation from the rest of nature.At the same time, however, she reveals the often disguised affinities and sense of connection that urban Canadians nonetheless manifest in their relations with animals and the natural world.Sabloff reflects on how the discipline of anthropology has contributed to the prevailing Western perception of a divide between nature and culture.She suggests that the present ecological crisis has resulted largely from the ways in which Western societies have construed nature as a cultural system.Since new ideas about nature may be critical in changing humanity's destructive interactions with the biosphere, Reordering the Natural World is invaluable in exploring how urban Canadians develop and sustain their current relationship with the macrocosm, and in considering whether these relationships might be altered by reconceptualizing anthropology itself as an integral part of natural history.With this unique text, Sabloff not only provides provocative insight into the study of relations between humans and the natural world, she lays a cornerstone for building a new structure for the study of anthropology itself.
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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.837 | 0.644 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".