Industrial Vestiges: Legacies of Ancillary Impacts of Resource Development
Bibliographic record
Abstract
This article offers a different way to understand the heritage of extractive industries by exploring the material afterlives of what has been termed the "ancillary impacts of resource development"-a variety of quarries, forest cuts, transportation corridors, and power lines that surround industrial operations, especially those created in areas distant from established industrial population centers. To study this, the article expands upon the concept of "vestige" to explore the landscapes around two single-industry mining towns in Kola Peninsula, Russia, and in Labrador, Canada, by specifically focusing on two abandoned quarries located in each. The results highlight the need to explore developments that trail behind industrial settlement of colonial hinterlands. By focusing specifically on the afterlives of such developments, the article demonstrates how chronological and geographical boundaries of resource extraction are blurred over time, creating a deep, unruly, self-perpetuating set of legacies.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.006 | 0.016 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".