Communing with Bees: A Whole-of-Community Approach to Address Crisis in the Anthropocene
Bibliographic record
Abstract
We are currently facing myriad socio-ecological crises, from global climate change to resource depletion to the loss of dozens of species every day. Despite a longstanding and impassioned environmental movement, these problems persist and are worsening. The extent and degree of human-induced change on the planet is significant enough to have placed us in a new geological age: the Anthropocene. Three perspectives are engaged as a way to understand this new era and address our fractured human-nature relationship: (1) political ecology, (2) the ecological humanities, and (3) the informal economy. An exploration of intersecting themes leads to the start of a new theoretical contribution, which manifests at the convergence of theories: a “whole-of-community” approach. This whole-of-community approach is one that is concerned with both inter-human and interspecies relationships to move us towards communities that are place-based, integrated, participatory, and grounded in eco-social justice and equity. Pollinating bees are used as an illustrative example of how to achieve this vision. Bees can be both a bridge and gateway. As a bridge, they can provide a way of (re)connecting human and nonhuman nature and as a gateway, they can guide humans to a deeper understanding and connection with urban natures. Reconciling humans with the rest of the biotic community through place-based initiatives is possible by fundamentally and radically expanding our current framing of the concept of community. See the press release for this article.
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 | 0.006 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.019 | 0.030 |
| Scholarly communication | 0.013 | 0.018 |
| Open science | 0.004 | 0.016 |
| Research integrity | 0.008 | 0.007 |
| Insufficient payload (model declined to judge) | 0.009 | 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".