Pedagogies for cohabitation with interplanetary infrastructures of telecommunications
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.008 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.023 |
| Scholarly communication | 0.008 | 0.008 |
| Open science | 0.002 | 0.015 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.014 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".