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Record W4415424932 · doi:10.1386/adch_00118_1

Pedagogies for cohabitation with interplanetary infrastructures of telecommunications

2025· article· en· W4415424932 on OpenAlexafffundabout
Marc-André Boucher, Alice Jarry

Bibliographic record

VenueArt Design & Communication in Higher Education · 2025
Typearticle
Languageen
FieldComputer Science
TopicOpportunistic and Delay-Tolerant Networks
Canadian institutionsUniversity of Toronto
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsSituatedSpace (punctuation)DisciplineTacit knowledgeAffordanceInterplanetary space

Abstract

fetched live from OpenAlex

How might we imagine and develop innovative ways of coexisting with the interplanetary telecommunication infrastructures (IIT hereafter) that shape our daily lives and make global communication possible? This article explores the constraints and possibilities that these infrastructures pose to generating situated forms of knowledge. While IIT are foundational to enabling communication across the globe, their physical, technical and economic requirements and obligations often hinder meaningful civic participation and limit opportunities for creative engagement. At this critical moment, we ask: What kinds of practices and approaches can acknowledge the elusive, distributed and transspatial nature of interplanetary signal flows, while also supporting a framework for inhabiting both urban and interplanetary environments? Drawing from the ‘Manifesting space cities’ workshop (held in May 2023 at Concordia University, Montreal), we reflect on the strategies we developed to critically examine and creatively interact with IIT. By bringing together diverse forms of knowledge – ranging from disciplinary and technical to tacit and expert – we examine three relational techniques: critical cartography, sensory attunement and place-based pedagogy.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.695
Threshold uncertainty score0.493

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.045
GPT teacher head0.318
Teacher spread0.273 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreMethods

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 routes3
Has abstractyes

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