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Record W7001111869

Of Ice Shields, Oceans, and Train Yards:
\nResearch-creation towards mythological contact with a feral terrain

2019· dissertation· en· W7001111869 on OpenAlexaboutno aff

Bibliographic record

VenueSpectrum Research Repository (Concordia University) · 2019
Typedissertation
Languageen
FieldSocial Sciences
TopicPosthumanist Ethics and Activism
Canadian institutionsnot available
Fundersnot available
KeywordsDingoField (mathematics)Filter (signal processing)Work (physics)PretextCircumstantial evidence
DOInot available

Abstract

fetched live from OpenAlex

This artistic research project is a speculative account that reflects on the artist-as-witness to the de-enchantments and re-enchantments of a feral terrain in post-industrial Montreal, Canada. Taking advantage of the confluence of this research and a renewal in the city's interest in the site, called the Falaise Saint-Jacques, the project calls into question the stark binaries that the idea of a separate "nature" implies. It builds on the work of art educators and academics who have resisted the siloing of art, focusing on the merging of public policy and place histories into an environmental art project. Content provided by implicated community members, the author's own experience, and scholarly and archival research coalesce into mythologies, articulated through visual arts. Artworks, used in this way, act as filters through which the viewer's understanding of geological scale may be shaped, translating the stories of millennia into decades, years, or moments. Finally, following from Indigenous Canadian knowledge, this research aims to model how mythologies that foreground connections to the land may offer a literal framework for seeing and relating to urban forms of nature. A field guide and zoetrope installations function as an analogue augmented reality machine that superimposes geological and mythological time onto the immediate present, literally and figuratively animating the landscape for the viewer, and creating a space for a mythological contact that introduces different, even opposing, conceptions of time to one another.
\n
\nKeywords: Research creation, Anthropocene, deep time, urban nature, environmental art, mythology, zoetrope, fieldwork

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.651
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0000.000

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 head0.039
GPT teacher head0.333
Teacher spread0.294 · 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 teacher head, not a consensus.

Study designObservational
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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