Data sinks, carbon services: Waste, storage and energy cultures on Ireland’s peat bogs
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
This article examines strategies by the Irish state to phase out the extraction and burning of peat as a carbon fuel source in relation to the growing energy demands of data centres. One of the major proposals within the ‘just transition’ for post-extractive peat boglands is to incentivise the construction of data centres and associated energy infrastructures alongside bog reclamation projects to encourage carbon sequestration. These entangled plans for data, energy and carbon ‘storage’, driven by large-scale and transformative relations to boglands, inherit colonial ways of valuing bogs as ‘wastelands’ that must be put to work for industrial capital. We argue that through paired digital and green industrial strategies, the transformative energy cultures and frontiers of capital continue to expand beyond the apparent sites of data and energy infrastructural development, penetrating deeper into the earth and its atmosphere.
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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 | 0.000 |
| 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