Inorganic Becomings
Bibliographic record
Abstract
Abstract In this choral essay we, an assorted group of academics interested in inorganic life and matter, explore a mode of thinking and feeling with our objects of inquiry—chemicals, waste, cement, gas, and the “project” as a particular form of circulation and enactment of materials and things. To experiment with alternative modes of knowing, we went to Puchuncaví, the largest, oldest, and most polluting industrial compound in Chile, to encounter the inorganic through and with its inorganicness and to attend to the situated, historicized, and political composition of both our materials and our experiences. Thinking of this as a collective provocation, we do not rehearse a conventional argument. Its parts are connected but only partially. There is no dramatic arc but rather an attempt at composing an atmosphere through which our thought and feelings are invoked. We have made visible the authorship behind each of the stories recounted here to celebrate the multivocality of our collaboration and to rehearse a nonabstracted mode of attention to Puchuncaví and the inorganic forces and entities we encountered there. We connect our irritations and speculations with the Anthropocene precisely as a way of summoning the multiple violences, many of them of planetary reach, that have to be denounced when situating our knowledge practices in Puchuncaví. Thinking about the ethico-political challenges of research in territories that have been, and are being, transformed under the weighty history of contamination and that are lived in and lived with by generations of beings (human and otherwise), we call in our concluding remarks for an enhanced pedagogy of care born of our inherited pasts and of engagement, interest, and becoming as response-ability.
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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.020 |
| Scholarly communication | 0.010 | 0.008 |
| Open science | 0.001 | 0.011 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.051 | 0.008 |
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".