Bibliographic record
Abstract
This essay explores histories of common salt, sodium chloride, using concepts and methods from media theory. It contributes to research on media and environment and the general ‘material turn’ taken across the Humanities. I conceive of salt as what Peters calls an ‘elemental’ medium so as to show, first, the imbrication of naturally-occurring substances in the operations and supply chains of digital culture. Second, the many lives salt has lived materially, in techniques of survival and exchange, and metaphorically, in cultural expression, complicate conventional understandings of media. In showing how salt performs three functions, processing, storage, and transfer, which Kittler ascribed to technical and symbolic media, I argue for a more expansive use of ‘mediation’ as a bridge concept that speaks to matters of nature and culture, Arts and Science, and to account for deep histories of extraction and economy that shape digital culture and global supply chains.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.008 | 0.029 |
| Scholarly communication | 0.011 | 0.015 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.002 | 0.003 |
| 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".