Is the Earth an optical medium? An interview with Chris Russill
Bibliographic record
Abstract
A discussion between Canadian media theorist Chris Russill, associate professor at Carleton University, and Kate Maddalena, assistant professor at the University of North Carolina Wilmington, articulates Russill's work in terms of current conversations in media-related cultural studies. Russill uses media theory, particularly the intersecting lineages of Michel Foucault, Harold Innis, and Friedrich Kittler, to describe planetary media that record, store, and transmit light. He then discusses implications for the technical media apparatus being created, largely in earth systems sciences, to read, process, and deploy appropriate action in response to the same. The conception of earth as optical medium affords insight into the power politics of ozone holes, climate change, the photosynthetic machines of science fiction, and sunscreen.
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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 | 0.006 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.043 | 0.020 |
| Scholarly communication | 0.007 | 0.009 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.009 | 0.014 |
| Insufficient payload (model declined to judge) | 0.008 | 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".