Staying Proximate
Bibliographic record
Abstract
Abstract The introductory chapter ‘Staying proximate’ welcomes the reader to stay with more-than-human relations in present times of ecological crisis, known as the age of the Anthropocene. The chapter joins feminist, postcolonial, and Indigenous environmental scholars’ call for more nuanced alternatives to the Anthropocenic imaginary, ones that attend to the multiplicity, difference, and uneven distribution of more-than-human responsibilities, vulnerabilities, and sufferings in the world. We seek alternatives to the distancing, generalising, and even apocalyptic imaginaries of the Anthropocene by engaging with mundane beings, relations, and places in the north. By gathering around uncomfortable concerns, we develop modes of proximity as affirmative entry points underlining the commitment to stay with the trouble in caring, sensitive, and thoughtful ways. We suggest openness, affinity, engagement, irritation, middleness, and scopic modes of attuning to and engaging with more-than-human worlds. It is these modes of attuning to our proximate relations that provide a radical standpoint of proximity that intensifies, enriches, and complicates our research inquiries in such times of all-encompassing ecological turmoil.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.010 |
| Scholarly communication | 0.005 | 0.008 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.023 | 0.005 |
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".