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Record W7107951974 · doi:10.20381/ruor-31568

Literature in a "Digital Ecology": Interdisciplinary Digital Collaboration in Contemporary English Canadian Literature

2025· dissertation· en· W7107951974 on OpenAlexaboutno aff

Bibliographic record

VenueUniversity of Ottawa - Library · 2025
Typedissertation
Languageen
FieldArts and Humanities
TopicEcocriticism and Environmental Literature
Canadian institutionsnot available
Fundersnot available
KeywordsReading (process)Generative grammarCitizen journalismRelevance (law)Space (punctuation)Close reading

Abstract

fetched live from OpenAlex

This project delineates an emerging genre of cross-disciplinary, geographically located, collaboratively produced Canadian digital literature in English. Drawing on thinking from the fields of new materialism, the digital humanities, architectural theory, cultural geography, and ecology, this dissertation applies a whole systems approach to four recent works in order to highlight a generic impulse toward the emergent, the indeterminate, and the provisional - what Doreen Massey calls "[l]oose ends and ongoing stories." By mapping this impulse across these projects, this dissertation examines the spatial, structural, and infrastructural ecologies they embody, tracing their emergent patterns and reading in them a broader generic concern with social, economic, and environmental inequities. The works this project studies are Canadian, but their interactive digital form extends their relevance and potential impact beyond national borders. Throughout this project, I argue that these works engage audiences in multi-sensory, interactive reading environments, producing localized, participatory readers more attuned to the ecological, economic, industrial, and cultural complexities of the real places they examine and to the creative navigation of the challenges marking our current geological era. This dissertation is divided into four chapters, each of which examines a recent spatial, structural, and infrastructural ecology attending to the material and the ephemeral. The first chapter posits that, by way of its interactive multimodality, Sachiko Murakami's Project Rebuild leads readers into a generative contingency, privileging not established patterns or fixed structures but instead a generous fluidity that makes space for more equitable social, material, and economic relations in urban Canada. The second chapter examines Aaron Tucker et al.'s Loss Sets, which, I argue, generates a productive textual lacuna that forces audiences to read the gaps and omissions forming the compositional substance of the project. The third chapter turns to Madeleine Thien's Vancouver of the Mind, which, I suggest, approaches Vancouver's historic and ongoing displacements and dispossessions by formal and structural means, applying the logic of digital multidisciplinarity and invited collaboration to its examination of the gaps, absences, and injustices occurring in and emerging from its spatial referent. The final chapter argues that in Fred Wah and the High Muck a Muck Collective's High Muck a Muck: Playing Chinese: An Interactive Poem, rivers, migratory routes, mountain ranges, and other arterial forms work in conjunction with the project's multimodality to materialize relational structures and cultivate in audiences a proprioceptive approach to the reading process, strengthening their sense of the connective tissue which binds them to the places, spaces, and structures of the world. In applying a macroecological lens to this emerging genre, and acknowledging the broad readership such digital works invite, this project aims to build a set of observational tools and to cultivate a responsive relationality with the systems and patterns running through the works I study and the places and structures they represent.

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.611
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.006
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.005
GPT teacher head0.180
Teacher spread0.175 · 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 designNot applicable
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
Published2025
Admission routes1
Has abstractyes

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