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Record W3176514998 · doi:10.6082/uchicago.1958

In the Shadow of Industry: The Lively Decay of Mill Creek Ravine

2019· article· en· W3176514998 on OpenAlexaboutno aff
Haeden Stewart

Bibliographic record

VenueKnowledge@UChicago (University of Chicago) · 2019
Typearticle
Languageen
FieldEnvironmental Science
TopicAmerican Environmental and Regional History
Canadian institutionsnot available
Fundersnot available
KeywordsRavineMillShadow (psychology)ArchaeologyGeologyMining engineeringEngineeringGeographyPsychology

Abstract

fetched live from OpenAlex

Fueled by concerns over the threats of climate change, recent social scientific research has highlighted the ubiquity of landscapes devastated by resource extraction and industrial waste, as well the inequality of toxic exposures across different communities. For the most part, these studies have emphasized the acute effects of recent industrial waste and the unique ways this waste transforms communities, ecologies and landscapes. This focus on more recent waste ignores the ways that early industrial waste, produced during periods now considered long past, continues to persist in contemporary landscapes. In order to investigate how early industrial waste forms and deforms landscapes, communities, and ecologies over the long term this dissertation investigates how the persistence of early industrial waste has defined the landscape of Mill Creek Ravine—a paradigmatic site of settler colonial industry in Western Canada—over the past century. From 1880-1886 Mill Creek Ravine was the reserve of the Papaschase Cree. In 1886 this land was appropriated by the Canadian government to exploit the coal and lumber resources of the area and facilitate the industrial development of Edmonton. Following this appropriation, Mill Creek Ravine became one of the first industrialized manufacturing centers in Alberta, lined with coal mines and meatpacking plants. By the time these industries were abandoned in the 1930s, Mill Creek Ravine was severely polluted, stripped of trees, and filled with collapsing industrial ruins. Today, the ravine remains the most polluted urban waterway in the province. Drawing on three years of archaeological excavation, archival research, ethnographic interviews and environmental science testing, my dissertation tracks how Mill Creek Ravine was produced as an industrial space, and subsequently abandoned and remade as a city park and as a site of heritage. My research shows that, even as the landscape was purposed and repurposed in different ways by municipal governments and local communities, this early industrial waste has continued to actively haunt, define, and disrupt the human and non-human communities that make up the ravine. I argue that the decay of early industrial waste has actively mediated the production and reproduction of Mill Creek Ravine over the past century through what I term its lively decay. By lively decay I mean decay as an active and ongoing engagement of waste with the landscape in a manner that extends and reflects upon its relations of production. Initiated by the appropriation and dispossession of Indigenous rights, the lively decay of early industrial waste has served as a medium for the logic of late nineteenth century settler colonial capitalism to continue to haunt Mill Creek Ravine and the human and non-human bodies that lived in it, managed it, and defined it. At the same time, this lively decay serves as a medium for the emergence of new ecologies, new communities, and critical perspectives on the fantasies that shaped and continue to shape how Mill Creek Ravine is imagined and used. While situated within historical archaeology, my dissertation builds on theories from political ecology and post-colonial studies in order to argue that the archaeological study of industrial landscapes and industrial waste provides an optic not merely onto what happened, but onto what is still happening. Industrial archaeology, as a discipline which investigates the history of industrialization through the waste it leaves behind, is a vital method to explore the devastated landscapes of the contemporary world.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.733
Threshold uncertainty score0.538

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0210.015
Scholarly communication0.0070.003
Open science0.0010.003
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0050.000

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.

Opus teacher head0.008
GPT teacher head0.188
Teacher spread0.181 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2019
Admission routes1
Has abstractyes

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