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Record W3042515979 · doi:10.1177/1206331220938640

COVID-19 as Atmospheric Dis-ease: Attuning into Ordinary Effects of Collective Quarantine and Isolation

2020· article· en· W3042515979 on OpenAlex

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

VenueSpace and Culture · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicGeographies of human-animal interactions
Canadian institutionsRoyal Roads University
Fundersnot available
KeywordsIsolation (microbiology)Coronavirus disease 2019 (COVID-19)Social isolationQuarantineMalaiseSocial distanceEmbodied cognitionDistancingPsychologyHistorySocial psychologySociologyDiseaseInfectious disease (medical specialty)MedicineEcologyComputer scienceBiology

Abstract

fetched live from OpenAlex

This 40-day diary tracks the ordinary effects of self-isolation and quarantine on a small island off the British Columbia coast. Drawing on reflections on the emotional and embodied dimensions of self-isolation, and on observations of the effects of physical distancing in public spaces, the writing paints a picture of COVID-19 as atmospheric dis-ease. Whereas disease is sickness and disorder, dis-ease is a social malaise infecting the body public via atmospheric contagion. Atmospheric disease, it is argued, is a shared mode of attention and a mix of effects permeating a place with the diffused rhythms, shared sensations, contagious moods, and common orientations typical of self-isolation.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.343
Threshold uncertainty score0.520

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.012
GPT teacher head0.307
Teacher spread0.295 · 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