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Record W4413084728 · doi:10.3366/vic.2025.0571

Co-Writing the Clouds

2025· article· en· W4413084728 on OpenAlex
Barbara Leckie, Sam Bean

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueVictoriographies · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicClimate Change Communication and Perception
Canadian institutionsCarleton University
Fundersnot available
KeywordsGlobeAction (physics)PoliticsRelation (database)HistoryMedia studiesWriting processSociologyAestheticsLiteratureVisual artsPsychologyArtLawPolitical scienceComputer sciencePedagogy

Abstract

fetched live from OpenAlex

This essay positions John Ruskin’s 1884 lecture ‘The Storm-Cloud of the Nineteenth-Century’ and its accompanying Annotations in relation to experimental methods in co-writing and an implicit challenge to prevailing understandings of the individual. Ruskin’s essay has been much discussed for anticipating the climate crisis and staging the struggle to find terms for concepts that, as Jesse Oak Taylor argues, have not yet emerged. I turn to another related dimension of Ruskin’s essay: its practice of what I call ‘co-writing’ capaciously understood (Ruskin writing with others, with himself, with the political and social events of the day, and with the clouds). Unlike ‘the future meteorologists’ to whom he refers, Ruskin does not have a community on all points of the globe to synchronise observational results and arrive at conclusions. He instead multiplies his voice and in the process illustrates how no voice is one voice but rather is interwoven with illimitable others and no one, truly, works alone. This essay further argues that reconfigurations of the individual via co-writing and other experimental methods – including, for example, the EVENT conference hubs and platform for online annotation – may offer more robust avenues for climate action.

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.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.892
Threshold uncertainty score0.965

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.223
GPT teacher head0.451
Teacher spread0.228 · 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