Bibliographic record
Abstract
This Time of FiresWe have been labouring to think what community, what being-together, looks and feels like, whether unfinished, attentive relationships conjure the conditions for political possibilities: where no one has to administer each other, where no one has to belong, where no one gets asked for their papers.To be attentive to one another is to resist the work of the teleological, to be present and exposed in the everyday.That means being exposed to all of it, to all the unfamiliarities and incommensurableness and unfinishedness of being-together with people.And if we are working to extend friendship to the more-than-human, that means being exposed to all of it, to animals, insects, rivers, trees, fires and floods.We are as fond of cute animal videos and spectacular sunsets as the next urbanite, but the more-than-human world is turbulent and unpredictable and very often violent and stomach-churning.It's comfortable enough to be exposed or attentive to an animal or mountain hike, but in search of a sensibility, a mode of friendship, we went in search of wildfires.Fires are a regular feature of summers in the Pacific Northwest, but they have been accelerating in size and impact with global warming.We were curious about what being in close proximity to wildfires might do to our thinking, what it might disturb.We had written about fires in our previous book so we knew something of what we were heading for, but mostly went in blind this time, trying to learn how to be attentive.We drove north from Vancouver (xʷməθkʷəyəm, səlilwəta and Skwxwú7mesh territories) up the Sea-to-Sky Highway, but as we drove,
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 | 0.007 | 0.005 |
| Scholarly communication | 0.006 | 0.007 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.005 | 0.009 |
| Insufficient payload (model declined to judge) | 0.085 | 0.030 |
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".