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Record W3184515561

Camps of listening: speculating visceral forms of ecological awareness at resource extraction sites through an acoustically attentive architecture

2021· dissertation· en· W3184515561 on OpenAlexaboutno aff
Miguel Veillette

Bibliographic record

VenueLu Zone Ul (Laurentian University) · 2021
Typedissertation
Languageen
FieldArts and Humanities
TopicDiverse Musicological Studies
Canadian institutionsnot available
Fundersnot available
KeywordsActive listeningArchitectureResource (disambiguation)Extraction (chemistry)EcologyGeographyPsychologyComputer scienceCommunicationBiologyArchaeologyChemistry
DOInot available

Abstract

fetched live from OpenAlex

Urgently prompted by the climate crisis, the discourse around environmental action is spearheaded by technological innovation, which promises futures of optimized mechanics and reduced carbon emissions. However, denying technology’s ecological purview beyond efficiency overlooks its untapped potential in acquainting humans to ecological thinking, “a practice and a process of becoming fully aware of how human beings are connected with other beings.” 1 Technology’s capacity to behave organismically and autonomously make it capable of dissolving categorical thinking towards nature. In an attempt to envision a future of sustainable human existence, this thesis reimagines technology as an agent of visceral ecological thinking through its architectural integration. The mobile work camps of the Athabasca oil sand mines are at the site of this architectural speculation. The series of bitumen mines, together forming the world’s largest industrial landscape, house over 30,000 workers in fly-in-fly-out camps. Here, technology leverages the human’s destructive capacity towards the environment to a geological scale. This thesis redefines the work camp as a tool in augmenting the oil worker’s capacity to think and act ecologically. The design is speculated within the Frontier Project, one of the largest bitumen mines ever proposed for construction. In the face of vast public opposition, the application process for the 290 square-kilometer project was terminated in 2020 after over a decade of planning Frontier’s outcome symbolizes the conflict between Canada’s resource economy, its goal of negating carbon emissions and the urgent need to acknowledge the value of land for indigenous peoples and for all life on Earth. This thesis enters the conversation around this conflict using speculative design to critique attitudes towards resource extraction and to provoke thinking around ecology, labour, democracy and technology. The intention is not to push the undertaking of the Frontier Project nor to propose a pragmatic alternative to current workforce housing. The speculative design posits an alternate reality wherein workers monitor the ecological impacts of the mine in visceral and intimate ways enabled by architecture. Acoustic technology integrated in the building envelope renders the camp transparent to the surrounding soundscape, creating an interior space of passive ecological analysis and intimacy with nonhuman entities of the site. The heightened soundscape condition inside the camp facilitates ecoacoustic analysis and serves as an ecopsychological means of inquiry and relaxation. The design speculates the democratization Frontier’s managerial structure, assigning workers regulatory capacities, ultimately cultivating their roles as constituents of ecology and industry. In treating ecological awareness as the recognition of ecological interconnectedness rather than the anxious realization of ecological peril and anthropogenic guilt, new possibilities in worker and ecosystem wellbeing are made possible.

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)0.002
metaresearch head score (Gemma)0.003
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: none
Teacher disagreement score0.996
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0060.024
Scholarly communication0.0080.007
Open science0.0020.010
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0120.002

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 head0.040
GPT teacher head0.242
Teacher spread0.202 · 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
Published2021
Admission routes1
Has abstractyes

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