Infrastructuring environmental (in)justice: green hydrogen, Indigenous sovereignty and the political geographies of energy technologies
Bibliographic record
Abstract
Abstract. Against the backdrop of ongoing planetary crises, this paper discusses the ambivalent relationship between large-scale material infrastructure, particularly energy technologies, and environmental justice. Inspired by relational and practice-oriented understandings of infrastructure, it develops a conceptual approach for energy-related environmental justice research, which is exemplarily applied to the emerging issue of green hydrogen, drawing on brief insights from the hydrogen frontrunner countries Colombia and Canada and associated struggles over Indigenous sovereignty. This “infrastructural lens”, based on three epistemological shifts – from infrastructure to “infrastructuring”, from social imaginaries to “sociotechnical imaginaries” and from human infrastructuring to “planetary infrastructuring” – provides deeper insights into how patterns of justice and injustice are practically infrastructured and what kinds of imaginaries they evoke or are entangled with. Moreover, it makes tangible how practices of infrastructuring can themselves become part of a broader political ontology, that is, of struggles over ways of being and ways of relating to planet Earth.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.043 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".