Managing Carbon and Data Flows: Fungible Forms of Mediation in the Cloud
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Microsoft's transition to being both a cloud company and a carbon neutral company occurred at the same time and with common structuring logics. Cloud computing, carbon offsetting, and renewable energy provisioning share place-agnostic structures and practices. This article examines these trends together, analyzing how global forms of mediation and management mutually reinforce one another across the cloud's carbon and data flows. This analytic affords more than just a tale of a commodity and its (mis)managed environmental externalities, but rather an analysis of the structures of fungible mediation common to both alike. Understanding this concept and its resistance to place-based accountability not only better captures the empirical and aspirational actions of cloud computing, it also allows for more efficacious forms of green media critique.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 it